Your responsibilities

Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work.

Our research focuses on the synthesis of biohybrid nanostructures and the investigation of their structural and functional properties.

Within our research group the successful candidate will be responsible for:

Experimental Research:

• solution-based synthesis of isotropic and anisotropic nanoparticles
• preparation of protein samples for encapsulation experiments
• design and conduct experiments using synchrotron-based X-ray methods
• perform experiments to characterize nanoparticles encapsulated in protein cages using X-ray methods such as SAXS or total X-ray scattering
• combine these results with complementary techniques such as TEM or SEM

 Data Analysis and Interpretation:

• analyze experimental data using appropriate methods and software
• interpret the results in the context of refining theoretical models based on the latest development in the field
• maintain accurate and detailed records of all research activities and findings
• support the application for beamtime at suitable synchrotron beamlines

 Method Development:

• develop and optimize methodologies to study nanoparticles encapsulated in protein cages
• implement improvements to existing protocols and instrumentation to enhance research outcomes

 Collaboration and Communication:

• work collaboratively with other researchers, both within the group, at the beamlines and in interdisciplinary teams
• present research findings in group meetings, departmental seminars, and international conferences
• prepare manuscripts for publication in high-impact scientific journals

 Teaching and Mentoring (six hours per week on average [2,6 LVS]):

• assist with teaching duties, including laboratory practicals and tutorials, as appropriate
• mentor undergraduate and master’s students involved in related projects 

Compliance and Safety:

• ensure compliance with safety regulations and ethical standards in all research activities
• actively participate in safety training sessions and maintain a safe working environment

The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,000 employees contribute to the tackling of climate change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range.

Institute of Materials Physics

The Institute of Materials Physics operates instruments on large-scale equipment for structural investigations of materials and works on the development and characterization of novel lightweight materials for high-temperature applications, for example in aircraft turbines and automotive engines. Hereon has a unique infrastructure for complementary materials research with photons and neutrons.

PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography

Reference code: 2026/WP 1 - 987
Work location: Hamburg
Application deadline: 23nd April, 2026

Helmholtz Zentrum Hereon operates an outstation at DESY in Hamburg, providing access to highly brilliant synchrotron radiation through its German Engineering Materials Science Center (GEMS). At the PETRA III synchrotron radiation source, Hereon jointly operates several beamlines. Our imaging beamlines offer advanced micro- and nano-tomography techniques with a strong focus on material science and life science applications. The micro-tomography setups cover a wide energy range and offer unique phase contrast capabilities. The full-field nano-tomography setup is among the fastest worldwide due to its unique geometry and beam characteristics. Additionally, the highly coherent beam enables advanced phase contrast methods such as near-field holography.

This position is limited to 3 years and starts as soon as possible. Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position.

Your tasks

This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY. Biological and materials science samples often exhibit hierarchical structures that determine their function. However, scanning an entire sample volume at the highest spatial resolution is not feasible. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume.

This PhD project focuses on learning-based phase retrieval in the weak holographic regime, bridging the gap between micro- and nano-tomography. While propagation-based phase-contrast imaging enhances visualization of soft tissues and weakly attenuating samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation experiments. The goal is to explore physics-informed self-supervised learning approaches (e.g., deep image priors, GANs) and iterative methods, combined with multi-scale tomography and local adaptive reconstruction to overcome these challenges.

Your tasks

• develop physics-informed, self-supervised learning approaches for phase retrieval
• implement reconstruction algorithms on HPC clusters for large-scale hierarchical tomography
• apply algorithms to experimental tomographic data
• collaborate closely with beamline scientists and project partners
• publish and present results in international journals and conferences

Your profile

• Master’s degree in physics, mathematics, computer science, or a related field
• strong analytical skills and solid theoretical background
• experience in machine/​deep learning and image processing/​tomography
• advanced programming skills in Python
• excellent command of English (written and spoken)

Assets:

• team-oriented mindset with strong communication and organizational skills
• experience with HPC clusters, parallel or distributed computing
• German language skills

We offer

• a cutting-edge research environment at PETRA III imaging beamlines
• collaboration with leading institutions in imaging, mathematics, and data science
• access to high-performance computing (HPC) resources and advanced experimental setups
• an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations
• a well-connected research campus (public transport) and best networking opportunities, subsidy for the Deutschlandticket if certain conditions are met (job ticket)
• individual opportunities for further training
  social benefits according to the collective agreement of the public service and remuneration up to pay group 13 according to TV EntgO Bund
• an excellent technical infrastructure and modern workplace equipment
• 6 weeks holiday per year; company holidays between Christmas and New Year's Day
• very good compatibility of private and professional life; offers of mobile and flexible work
• free assistance program for employees (EAP)
• corporate benefits

Interested?

Then we are looking forward to receiving your comprehensive application documents (cover letter, CV, letter of reference, relevant certificates and transcripts [including grades]) indicating the reference number 2026/WP 1 - 987 until 23nd April, 2026.

• Letter of reference
• Relevant certificates and transcripts (including grades)

Apply via our online application portal.

Apply now

Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.

Who we are:

In ECOSENSE we explore new ways to quantify ecosystem processes and stress impact of climate change by developing novel sensor principles and measurement methods (https://uni-freiburg.de/ecosense/). We established a comprehensive infrastructure and sensor network in a nearby forest. For our second phase starting this July we are seeking 15 doctoral researchers from environmental and engineering sciences. ECOSENSE offers highly interdisciplinary research and training in a cooperative and vivid working environment. 

In project A2.1 (Linking fluxes of water and nutrients from trees to the soil and watershed using MRI and different sensor systems) we will trace water fluxes and sharpen our picture of biotic controls and find patterns that allow us to scale up water fluxes to larger areas including entire watersheds. Particularly focus will be moments of stress, such as droughts, heatwaves or late frost, and their impact on the ecohydrological fluxes in the heterogeneous forest ecosystem. We will develop and apply a unique ecohydrological sensor network capable of capturing the high spatio-temporal variability of water fluxes across diverse forest ecosystems. By combining point-based, integrated, continuous, and novel rover-based measurement approaches (CRNS), the goal is to identify an optimal and efficient sensor setup that provides maximum insight into tree–soil water interactions with minimal redundancy

The doctoral researcher will be part of the Chair of Hydrology, which is a dynamic and vivid team, strongly involved in ECOSENSE. The group is well-connected nationally and internationally, as well as within the University of Freiburg and Faculty of Natural Resources and Environment.

Your Tasks

Within ECOSENSE you will extend the existing ecohydrological sensor network and starting with the planning of a new ecohydrological site and its installation at additional sites. New sensors (CRNS, accelerometer) require additional calibration and testing at our new tree lysimeters and in the field. In particular the CRNS rover requires additional testing. You will maintain the network together with the technicians and then focus on the data analysis, the data-based modelling and the spatial-temporal analysis. Based on the novel new dataset and empirical work, you will be able to write 3-4 scientific papers in international, peer-reviewed journals, present at national and international conferences and be actively involved in the activities, workshops, and outreach events of the CRC.

Your Profile

• Completed university degree (M.Sc. or equivalent) in Hydrology or a related field of Environmental and Earth Sciences with a focus on hydrology.
• High motivation to write a doctoral thesis in a structured program on ecohydrology
• Very good knowledge of R and/or Python
• Experience in data analysis, statistics and ecohydrological modelling
• Proficient written and spoken English; German is an asset
• Experience in scientific writing (publications) is an advantage
• Initiative, teamwork skills, and strong social competence.

We Offer

• An exciting research environment of ECOSENSE with internationally renowned researchers
• Structured support and supervision for your scientific and career development strengthened by the CRC’s own integrated Research Training Group providing a tailored qualification program for all our doctoral candidates.
• A diverse, collaborative, and inclusive research community.
• Opportunities for further education, attendance at conferences, and professional networking
• Flexible working hours and support with work-life balance
• Salary according to TV-L 13 (75%)
• Contracts will initially run for three years with an option of extension until June 2030.
• Optional involvement in university teaching

The University of Freiburg is dedicated to the principles of equal opportunity and diversity and welcomes applications from all qualified candidates regardless of gender, nationality, ethnic and social background, religion/belief, disability, age, or sexual orientation.

Application 

The funding of the here advertised position is still subject to the DFG’s final approval for a second phase by midst of May 2026.

Contracts will initially run for three years with an option of extension until June 2030. The salary will be determined in accordance with 13 TV-L.

Scope:

full-time

Duration:

fixed-term, 3 years maximum, until the end of the project on 31 August 2029

Your tasks:

Developing high-energy-density rechargeable battery technologies is essential to solve energy and environmental problems. However, its development is currently impeded by a poor understanding of elementary processes occurring at electrode/electrolyte interfaces. Several long-standing issues such as short cycle life, low Coulombic efficiency and hazardous dendrite formation in batteries cannot be fundamentally solved due to the knowledge gap.

The bottleneck is that interfacial chemistry on the atomic-scale is as yet unresolved, owing to the lack of sufficiently suitable analytical capabilities. In this project, the PhD candidate (m/f/x) will employ atom probe tomography, coupled with a highly innovative cryogenic sample preparation and transfer platform, to provide atomic-scale insights into solid electrolyte interphase (SEI) and cathode electrolyte interphase (CEI) formed at the electrode/electrolyte interface in lithium batteries.

Your profile:

The candidate (m/f/x) must have:

·         an excellent master degree in materials science, electrochemistry, inorganic or organic chemistry

·         project experiences with lithium metal or ion batteries

·         familiar with assembling cells and performing electrochemical  cycling tests for non-aqueous or aqueous batteries

·         solid knowledge of electrochemistry or relevant project experiences

·         experiences with operating scanning electron microscopy/focused ion beam

·         a high level of spoken and written English

·         self-motivated and eager to learn

·         can work both independently and as part of an interdisciplinary team

The candidate may have:

·         experiences in operating and analyzing [X-ray photoelectron spectroscopy data]() of battery                   interfaces

We offer:

• Challenging and varied tasks with a high level of independence
• Collaboration in a committed and appreciative team

The successful candidate (m/f/x) will be working in the new research center for interface-dominated high-performance materials (ZGH) at Ruhr University Bochum, which houses a large and comprehensive suite of equipment dedicated to nanostructure analysis; the center is among the best facilities of its kind in the world. The candidate (m/f/x) will have access to world-class set of laboratories and more than 10 major microscopy platforms, including the state-of-the-art atom probe, aberration-corrected TEM and focused ion beam etc.

Further information:

The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.

Further information can be found at https://oeffentlicher-dienst.info/ (in German).

The place of work is Ruhr University Bochum.

If the position is funded by third-party funds the employee has no teaching obligation.

Please upload informative cover letter, CV with a publication list and PhD certificate as one document.

RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. 

German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/daf/index.html.en

The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.

Contact persons for further information:

Prof. Dr. Tong Li , Tel.: +49 234 32 26099

Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.

We look forward to receiving your application via our online application portal by 2026-05-03. Please make sure to mention the reference number ANR 5608.

Project 1: “Optimizing microwave plasma-based reduction of metal oxides” under supervision of Prof. von Keudell, Chair for Experimental Physics – Reactive Plasmas at the Faculty of Physics and Astronomy, Ruhr University Bochum

Project 2: “In situ studies of the mechanochemical synthesis of intermetallic compounds” under supervision of Prof. Weidenthaler, Powder Diffraction and Surface Spectroscopy group at the Max-Planck-Institut für Kohlenforschung in Mülheim/Ruhr

Project 3: “Atomistic Investigation of Chemomechanical Processes in the Fe–O System” under supervision of Prof. Bitzek, Microstructure and Mechanics group at the Max Planck Institute for Sustainable Materials in Düsseldorf

What we do

Discover with us the world of sustainable materials in our three-year doctoral program, conducted entirely in English. Become part of an international community of scientists in Germany's vibrant Rhine-Ruhr metropolitan region. This unique program offers an intensive interdisciplinary approach, with a special focus on sustainable metallurgy – a field that has shaped human civilization by providing crucial materials for mobility, infrastructure, energy, and medicine.
As we face the challenge of making metallurgy more sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy.

Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission:

• Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g. cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning)
• High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental techniques in both space and time (e.g., correlated APT, TEM, FIM, EBIC, EBSD, XPS Kelvin probe microscopy, machine learning augmented analysis techniques)
• Experimental and computational analysis of transport and the reaction of surfaces and particles with reducing and oxidizing gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics)

What we offer

• Cutting-edge research in a dynamic work environment
• Well-structured curriculum and close supervision of the PhD projects including regular status meetings
• An international and open-minded community with outstanding opportunities for collaboration
• At the Max Planck Institutes: TVöD 13 65 %, about 40.000 € gross per year
  At the Ruhr University Bochum: scholarship of 2.050 € net per month

Your profile

Project 1: excellent master’s degree in physics, experience in plasma research

Project 2: excellent master’s degree in materials science, chemistry, or solid-state physics. Knowledge in solid-state chemistry, X-ray diffraction, spectroscopy, or electron microscopy is advantageous.

Project 3: excellent master’s degree in materials science, physics, or chemistry. Experience with atomistic simulations in high-performance computing environment, solid knowledge of crystallography and defects preferred

Very good English knowledge
 

We are committed to employing more handicapped individuals and especially encourage them to apply. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.

At the Institute of Radiopharmaceutical Cancer Research scientists (f/m/d) from the fields of physics, chemistry, biology, pharmacy, immunology, medicine and IT develop innovative radiopharmaceuticals and novel tools for the functional characterization, improved imaging and personalized treatment of tumors.

The Department of Positron Emission Tomography is looking for a PhD Student (f/m/d) to work on the Development and Evaluation of Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging.

Positron emission tomography (PET) is a cornerstone of today’s cancer diagnosis, treatment planning, and response assessment. By administering specific radiotracers, PET enables the visualization and quantification of distinct physiological processes in the human body. However, clinical PET imaging has so far been limited to imaging the distribution of a single radiotracer per scan. In collaboration with the Forschungszentrum Jülich, the PET department at the HZDR has launched a joint research project to evaluate the potential of dualtracer PET imaging. This innovative approach enable the separation of two simultaneously acquired radiotracers and to provide two distinct images from a single PET acquisition. Within this project, we will jointly develop, adapt and implement advanced image reconstruction algorithms in our in-house reconstruction software to evaluate the feasibility of dual-tracer imaging on clinical PET scanners. The ultimate goal of the project is to translate the developed methods towards clinical application. With the planned installation of a new total-body PET scanner in Dresden, the developed methods will also be evaluated and validated on this clinical system, enabling a direct pathway from methodological development to clinical impact.

Project Description
The successful candidates will drive independent research projects supported by the prestigious
DFG Emmy-Noether Programme. Both PhD candidates will focus on projects utilizing the Japanese rice fish, Oryzias latipes (medaka) and related species, to further our understanding of the fundamental mechanisms underlying the control of developmental timing in vertebrates.

Key methodologies in the lab include:

• Genome editing: CRISPR/Cas9 microinjections in Oryzias species to generate knock-in
  (KI) lines and knock-outs (Crispants)
• Genetic hybridization: hybrid F1 and F2 families from different Oryzias species
• Multi-omics: scRNAseq, proteomics and metabolic profiling of Oryzias species
• Genomic analysis: building and annotating genomes of Oryzias species
• Advanced Imaging: 4D-confocal and light-sheet imaging of fluorescently tagged
  endogenous proteins during embryonic development in Oryzias species

Required Qualifications:

• A Master’s degree (or equivalent) in Biology, Molecular Medicine, Genetics, or a closely
  related field.
• Hands-on experience with standard molecular biology techniques (e.g., PCR, gel
  electrophoresis, molecular cloning and DNA/RNA sequencing).
• Basic coding and computational data analysis skills (e.g., Python/R/Imaris/Fiji)
• Strong critical thinking skills, high intrinsic motivation, and an independent, well-organized
  work style.

Highly Encouraged (but not required):

• Previous experience working with aquatic model systems (medaka, zebrafish, killifish).
• Experience with advanced light microscopy and quantitative image analysis.
• Experience with sequencing library preparation (DNA/RNA) or advanced computational
  data analysis (e.g. scRNAseq, proteomics, de-novo genome assembly and annotation).

What We Offer:

• A fully funded DFG Emmy-Noether PhD position (65 % E13) for 36 months, with the
  possibility of extension.
• A dynamic, collaborative, and interdisciplinary research environment within the CIBSS
  Cluster of Excellence and the Faculty of Biology at the University of Freiburg.
• Opportunities to contribute to cutting-edge research in developmental genetics and
  vertebrate biology.
• Supportive mentorship and training in advanced molecular, genomic, and imaging
  techniques.
• Integration into the Spemann Graduate School of Biology and Medicine (SGBM) at the
  University of Freiburg, offering structured thesis advisory committees and career
  development opportunities.

Further information on the lab you can find: https://seleit-lab.com

How to apply:

Please submit your complete application in English – including a cover letter detailing your
research interests and motivation, a CV, relevant transcripts/certificates, and the contact details of two academic references – as a single PDF document

Please send your application in English including supporting documents mentioned above citing the reference number 00004923, by 30. April 2026 at the latest. Please send your application to the following address in written or electronic form:

Please send your application electronically via email, citing the reference "PhD-Seleit-2026", to: ali.seleit@cibss.uni-freiburg.de by 01.05.2026 at the latest

The position is limited to 31. Mai 2029. The salary will be determined in accordance with E13 TV-L.

We will be particularly pleased to receive applications from women for the position advertised here.

Who we are:

In ECOSENSE we explore new ways to quantify ecosystem processes and stress impact of climate change by developing novel sensor principles and measurement methods (https://uni-freiburg.de/ecosense/). We established a comprehensive infrastructure and sensor network in a nearby forest including three canopy access towers.

For our second phase starting this July we are seeking 15 doctoral from environmental and engineering sciences. ECOSENSE offers highly interdisciplinary research and training in a cooperative and vivid working environment.

Project B4 develops microfluidic systems for on-site qPCR to quantify tree and phyllosphere gene expression, aiming to identify stress-responsive markers in adult forest trees. The Laboratory for MEMS Applications specializes in the design, integration, and experimental validation of microfluidic cartridges for automated nucleic acid analysis. In close collaboration with the Chair of Forest Genetics, we develop technologies that translate complex molecular diagnostics into robust, field-capable sensor systems for the ECOSENSE forest infrastructure.

Your Task:

Within ECOSENSE you will develop the technical concept for on-site qPCR monitoring, including the design, simulation, and manufacturing of microfluidic cartridges. You will experimentally evaluate these systems in the laboratory and transfer the setup to the ECOSENSE forest to ensure operation under variable field conditions. Your research will focus on optimizing cartridge design for robustness, reagent integration, and minimal user intervention to enable reliable RNA extraction and amplification from environmental samples. You will work on hardware and software architectures that allow for autonomous sensing throughout a growing season. Finally, you will contribute to data analysis and help identify spatio-temporal stress hotspots based on the molecular data generated.

Your qualifications and contributions to ECOSENSE:

·    You hold a Master's degree in Microsystems Engineering, Bioengineering, Physics, or a related field.

·    Skills in CAD design or experimental evaluation of biochemical measurements.

·   Experience in microfluidics, lab-on-a-chip technologies, or the automation of biological workflows.

·    Proficiency in programming (e.g., Python, MATLAB) or data analysis is a plus.

·    Excellent English skills

·  Great enthusiasm for working in a large interdisciplinary project and interest in collaborative research

·    Drivers license is a plus

What we offer

·     An exciting interdisciplinary topic with a high socio-ecological impact

·     A salary according to TV-L E13 (100 %)

·    Contracts will initially run for three years with an option of extension until the end of the CRC’s second phase, which will be June 2030.

·     Modern laboratory equipment and a highly qualified, multicultural team, which will cooperate with you and support you along your professional growth.

The work on your dissertation will be strengthened by the CRC’s own integrated Research Training Group (RTG) providing a tailored qualification program for all our doctoral candidates. Within this RTG all early career researchers will form a tight group of scientists being connected across the borders of disciplines fostering a constant and mutual exchange.

The funding of the here advertised position is still subject to the DFG’s final approval for a second phase by midst of May 2026.

Please send/upload all documents (letter of application, CV, credentials) under the submission portal of the University of Freiburg. The deadline for applications is the 15.05.26.

For any questions regarding the position, please contact Jacob Hess (Jacob.Hess@Hahn-Schickard.de)

The position is initially a 3-year fixed-term contract with the possibility of extension until June 30, 2030. The salary will be determined in accordance with 13 TV-L.

We will be particularly pleased to receive applications from women for the position advertised here.

At the Faculty of Mechanical Science and Engineering, Institute of Manufacturing, the Chair of Laser-Based Manufacturing offers a full-time position as

Research Associate (m/f/x)
(subject to personal qualification, employees are remunerated according to salary group E13 TV-L)

starting at the earliest possible date within a project funded by the German Research Foundation (DFG). The position is limited to 36 months. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).

Tasks: The focus of the activity lies in the research and development of laser-based microstructuring methods for the targeted functionalization of metallic surfaces. The aim is to specifically adjust wettability with respect to oils through suitable surface structures, as well as to influence friction and wear properties (tribology). This includes the planning and execution of laser processes for microstructuring, the systematic investigation of the relationships between process parameters, resulting surface topography and functional properties, as well as the development and setup of suitable experimental and analysis environments. A further essential component of the activity is the comprehensive characterization of the generated surfaces with regard to topography, wettability behavior and tribological properties using appropriate measurement and testing methods. The project is carried out in close cooperation with the Technische Universität Wien.

Requirements: 

• university degree appropriate to the field of activity
• experience in the fields of materials engineering and/or materials science, as well as in conducting scientific projects
• if possible, experience in project coordination
• flexibility with regard to tasks
• very good German and English language skills (C1), both written and spoken
• experience in the field of laser technology is an advantage

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Application: Please submit your detailed application with the usual documents by April 30, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to applications-lbf@tu-dresden.de or to:

TU Dresden, Chair of Laser-Based Manufacturing, Prof. Dr.-Ing. Andrés F. Lasagni, Helmholtzstr. 10, 01069 Dresden, Germany.

Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

TUD is a founding partner in the DRESDEN-concept alliance.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:
https://tu-dresden.de/tu-dresden/arbeiten-an-der-tud/stellenangebote/Datenschutzhinweis?set_language=en

At the “Friedrich List” Faculty of Transport and Traffic Sciences, the Chair Traffic and Transportation Psychology offers, subject to the availability of resources, a position as

Research Associate (m/f/x)
(subject to personal qualification, employees are remunerated according to salary group E 13 TV-L)

starting July 1, 2026. The position is limited until 31 May 2029. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position comprises 75 % of the full-time weekly hours. An increase is generally possible subject to available funds. The position offers the chance to obtain further academic qualification (usually PhD).

Tasks: The successful candidate will independently take responsibility for parts of the work within the EU project SENSEI (Societal-ready safe and transparent human-technology interactions for the automated mobility ecosystem).

The project develops adaptive and transparent human–machine interactions for automated driving (Level 2–3) that adapt to different drivers and enhance both safety and comprehensibility. User-centered interfaces and personalized training methods are validated through simulations as well as real-world tests in several European countries. The aim of the project is to reduce misuse and uncertainty and to make the use of automated driving functions safer and more reliable.

Within the professorship, this includes, among other tasks, analyzing the requirements of different user groups with respect to driver assistance and automation systems, and identifying typical situations in which distraction or misuse occurs. Based on this, an evaluation framework will be developed using criteria such as safety, trust, and usability, along with methods for the systematic assessment of the proposed solutions.

Another key focus is the (co-)development of a scalable training concept that prepares drivers for the safe and effective use of assistance and automation systems. This includes a digital training assistant that supports system use in the vehicle and is further developed based on user testing. Training concepts and assistance systems are tested and evaluated in various application scenarios in order to continuously improve their effectiveness.

The successful candidate will work on the described tasks in close collaboration with other members of the professorship. The project is carried out in cooperation with various institutions across the EU. Sub-studies may also be conducted on-site at European partner institutions as part of the project.

Requirements: 

• above-average university degree in psychology, human factors, or a related field 
• good knowledge of methods and statistics 
• strong interest in research 
• good German and English skills 
• reliable, conscientious, and structured work, commitment, initiative, teamwork skills, scientific curiosity, and willingness to learn 
• willingness to be mobile (especially with regard to the required activities within the project)

We offer: 

• the opportunity for engaging and independent work within a flat hierarchy, in an open-minded team and supportive atmosphere
• flexible arrangements for work hours to support a good work-life balance
• 30 days of vacation per year (based on a 5-day workweek)
• extensive opportunities for professional development and continuing education
• health care and sports programs offered by TUD
• a discounted job ticket (also available as a Deutschlandticket)
• participation in the supplementary pension scheme for employees in the public sector via VBL (Federal and State Government Employees Retirement Fund)

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Application: Please submit your detailed application with the usual documents by April 29, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to tibor.petzoldt@tu-dresden.de or to:

TU Dresden, Chair Traffic and Transportation Psychology, Prof. Dr. Tibor Petzoldt, Helmholtzstr. 10, 01069 Dresden, Germany.

Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

TUD is a founding partner in the DRESDEN-concept alliance.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:
https://tu-dresden.de/tu-dresden/arbeiten-an-der-tud/stellenangebote/Datenschutzhinweis?set_language=en

Research Assistant (f/m/d)

(Salary level according to 13 TV-L) with 75 % of the regular working hours. This is a qualification position within the meaning of the German Act on Fixed-Term Research Employment Contracts for Academic Staff (Wissenschaftszeitvertragsgesetz “WissZeitVG”), which serves to promote a doctoral procedure in the field of theoretical materials physics. The position is, depending on the qualification achieved to date, initially limited for a period of three years.

Duties and responsibilities:

The advertised position involves the theoretical and numerical modelling of bismuth surfaces in close collaboration with an experimental group in the Department of Chemistry. The aim is to use atomistic simulations to develop a fundamental understanding of the adsorption, structure, defect formation and spectroscopic signatures of organically functionalized bismuth electrodes.

Recruitment requirements:

• A completed or nearly completed Master’s degree in Physics, Chemistry, Materials Science or a related field
• In-depth knowledge of atomistic simulation methods, such as density functional theory
• Teaching duties amounting to approximately 3 contact hours per week

We offer:

• Flexible working hours and the individual option of mobile working
• Wide range of health, counseling and prevention services
• Attractive fringe benefits such as childcare facilities and sports activities
• Opportunities for internal and external training and development
• Additional benefits in accordance with the collective agreement of the federal states (TV-L), such as annual bonuses and capital-forming benefits as well as the VBL supplementary pension scheme

Applications from women are particularly welcome and, in case of equal qualifications and experiences, will receive preferential treatment according to to state law (LGG), unless there are preponderant reasons to give preference to another applicant. Part-time employment is generally possible. Applications from disabled people with appropriate suitability are explicitly welcome. This also applies to people with equal opportunities in accordance with the German social law SGB IX.

Please send your application documents (preferably in a single pdf file) using the Ref. No. 7251 until 30.04.2026 to simone.lange@upb.de.

Information regarding the processing of your personal data can be located at: https://www.uni-paderborn.de/en/zv/personaldatenschutz.

Prof. Dr. Wolf Gero Schmidt 
Faculty of Science
Department of Physics / Theoretical Physics 
Paderborn University 
Warburger Str. 100 
D-33098 Paderborn

PhD student (m/f/d)

to join the research group of Dr. Matthias Voss as soon as possible. The regular weekly working hours correspond to 65 % of full-time employment (currently 25.16 hours). The salary is based on pay grade E 13 TV-L, provided the collective bargaining agreement requirements are met.

The group’s research interest is centered around the cellular and molecular mechanisms underlying the regulation of glycosylation in the Golgi apparatus. A specific aim is to dissect how the proteolytic cleavage of Golgi-resident enzymes is regulated and contributes to the overall organization of the Golgi. Building on the initial description of SPPL3 as primary protease cleaving Golgi enzymes and thus regulating cellular glycosylation (Voss et al. (2014), EMBO J), the laboratory has more recently employed state-of-the-art genome editing, tailored cellular models and advanced proteomics and imaging to further define the substrate spectrum of SPPL3 (Hobohm et al. (2022), Cell Mol Life Sci; Truberg et al. (2022), BBA Mol Cell Res; Brauer et al. (2024), EMBO J). Moreover, many independent studies have confirmed SPPL3 as a potent regulator of glycosylation-dependent physiological processes, e.g. in the context of tumor immune evasion.

As part of a newly DFG-funded project and with close supervision and mentoring, the prospective PhD student will investigate the molecular regulation of SPPL3 activity and Golgi enzyme processing in cellular and later-on also in vivo models in more detail using a wide range of methodologies and tools (e.g. molecular cloning and genome editing, immunoblotting, flow cytometry, high-resolution imaging and proteomics/terminomics and others).

With its strong and long-standing focus on protease and membrane protein research, the Institute of Biochemistry is equipped with state-of-the-art facilities and offers a stimulating scientific environment. The prospective student could also be associated with the recently established DFG-funded Research Training Group ReMPro, further fostering scientific collaborations and career development.

Your profile:

• a completed academic university degree in a relevant field (e.g. biochemistry, biology, medicine or related academic programmes) with very good/good grades (proof of completion of the master’s degree must be submitted no later than the start of the contract)
• well and broadly educated in cell biology, possibly also immunology and cancer biology
• demonstrated broad and hands-on expertise in molecular and cell biology techniques
• documented experience with aseptic cell culture techniques and the handling of cell lines
• ideally prior experience with in particular high-resolution imaging, but possibly also animal models, proteomics/bioinformatics, and other state-of-the-art methodologies
• demonstrated ability to independently work on a scientific project in an academic research lab in a biomedical field
• fluent oral and written communication skills in English, comparable to level C1 of the Common European Framework of Reference for Languages (no formal proof required)
• good interpersonal and communication skills

The University also supports the employment of disabled persons. Persons with disabilities will, with appropriate qualification and aptitudes, be employed preferentially.

The Christian-Albrechts-Universität zu Kiel sees itself as a modern and cosmopolitan employer. We welcome your application regardless of your age, gender, cultural and social origin, religion, worldview, disability or sexual identity. We support gender equality.

We also support the application of people with a foreign background.

The University strongly encourages women with appropriate qualifications to apply for the position. Women with equivalent qualifications, competence and expertise will be given preference.

We kindly ask that applications are submitted as a single PDF file, including (i) a motivation letter (maximum two pages) in which your research interests as well as your reasons and motivation for applying are convincingly presented, (ii) a CV, (iii) a brief description of previous research experience (maximum one page), and (iv) relevant certificates, by May 1st, 2026, to:

Dr. Matthias Voss

Institute of Biochemistry

Kiel University,

Email:mvoss@biochem.uni-kiel.de

Please note that applications containing only a CV will be considered incomplete and, unfortunately, cannot be taken into account in the further selection process. We explicitly request that you refrain from including photographs/photos in your application. Application documents sent by post will not be returned; they will be destroyed after the completion of the process, and all other materials will be deleted.

Do you want to contribute to securing the critical raw materials needed to enable the European energy transition while working with powerful energy system models within an international team of researchers? Then become part of our team at the Institute of Climate and Energy Systems - Jülich Systems Analysis and contribute to our research with your PhD thesis. Here at our institute, we investigate what a sustainable energy system could look like, providing meaningful analyses and scenarios for policymakers. Within the Marie Skłodowska-Curie project MiningBrines, we use our skillset to help develop a sustainable brine mining whole strategy that extracts and valorizes renewable energy, energetic gases, and critical raw materials from geothermal brines across European geothermal wells. If you are interested, read more about this unique opportunity and the associated tasks in detail below. Can't wait to start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2

We are offering an interesting

PhD Position – Techno-economic assessment of geothermal plants with material co-production in energy systems

Your Job:

Critical Raw Materials (CRM) are those raw materials with unique properties that are economically and strategically important for the European economy and energy transition towards a carbon neutral future. Geothermal wells are located all over Europe and contain various minerals such as Lithium or Boron and energetic gases such as hydrogen and methane. Currently these geothermal wells are mostly used for their heat-energy properties. The MiningBrines project funded by the EU Horizon program aims to develop a strategy to extract CRM and other materials from geothermal brines while at the same time continuing to supply renewable energy. Your goal as one of 19 international PhD candidates within the project is to evaluate the economic viability of geothermal plants that produce power, heat, and critical materials by comparing them to other energy sources and extraction methods, while considering future demand, price trends, and incorporating data on resource productivity, innovative extraction methods, and social acceptance. For this you will work together with project partners to retrieve real world techno-economic data as a foundation for integrating geothermal plants into European energy system models based on the institute's own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE. Your tasks in detail:
 

• Implementing geothermal plants with material co-production in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells
   
• Economic evaluation of traditional material extraction methods and projection of future demand and price trends of critical materials
   
• Identification of specific conditions under which geothermal plants are economically viable and cost competitive in energy systems
   
• Further assessment of the strategic role of geothermal plants with material co-production in future European energy systems

Your Profile:

• Very good results in your Master’s degree in the field of energy technologies, engineering, environmental sciences, renewable energies, industrial engineering, materials and geosciences or a related field
   
• Great interest in energy technology, energy economics and policy issues
   
• Experience in programming with Python or a comparable programming language
   
• Experience in energy system modelling is an advantage
   
• Highly motivated and able to work independently and in an analytical manner
   
• Reliable and conscientious working style with a high level of self-organization and time management skills
   
• Fluent command of written and spoken English is required (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements); German language skills are advantageous
   
• According to the mobility regulations of Marie-Sklodowska-Curie actions you must not have lived or carried out your main activity (work, studies, etc.) in Germany for more than 12 months in the last three years

Application Documents: Besides a CV and a letter of application, please include the following documents:

• A 1-page critical summary of an article of your choice
• The name of two contact persons (former teachers or supervisors, who are asked to send a support letter)
• Your academic credentials

Our Offer:

Being part of the Marie-Sklodowska-Curie doctoral network MiningBrines we are offering ideal conditions for you to complete your doctoral degree:
 

• INTERDISCIPLINARY TRAINING: An interdisciplinary training program, including academic research, international mobility, and industrial immersion
   
• INTERNATIONAL COLLABORATION: Collaboration with 32 international project partners and 18 other PhD candidates
   
• SECONDMENTS ABROAD: 4 secondments to industrial and academic project partners in France, Croatia, Turkey and Hamburg (Germany)
   
• NETWORKING & EXCHANGE: Participation in national and international conferences and workshops

Additionally, the Institute of Climate and Energy Systems - Jülich Systems Analysis offers to all its PhD students:
 

• TEAM & ENVIRONMENT: You will work in a motivated team with an international and interdisciplinary focus – at one of the largest research institutions in Europe
   
• RESEARCH & INFRASTRUCTURE: You will have access to excellent scientific and technical facilities for your work
   
• SUPERVISION & SUPPORT: Continuous professional support from your scientific supervisor
   
• DOCTORAL STRUCTURE: The opportunity to complete a doctoral thesis within 3 years through professional supervision and internal support services
   
• WORK-LIFE BALANCE: We offer flexible working hours to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on-site) appointments
   
• VACATION: You will receive 30 days of vacation
   
• SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service makes it easier for international employees to get started
   
• KNOWLEDGE & FURTHER TRAINING: Your further development is important to us – we provide targeted and individual support, e.g. through training and networking opportunities specifically for doctoral students (HITEC): https://www.hitec-graduate-school.de/home
   
• FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal requirements of the applicant
   
• FIXED-TERM: The position is for a fixed term of 3 years

Further information about the project can be found here: https://cordis.europa.eu/project/id/101226422
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation/​identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on the targeted promotion of women: https://go.fzj.de/womens-job-journey
 

We look forward to receiving your online application by 30.04.2026.

APPLY NOW

If your questions have not yet been answered via our FAQs, please send us a message via our contact form.

Please note that for technical reasons we cannot accept applications by e-mail.

www.fz-juelich.de

The Department of Anthropology of Economic Experimentation is offering a position for

Doctoral Student (m/f/d) for “an Urban Anthropology of the Nearby in China”

(starting after 1 September 2026)

Background

Departmental activities have been highlighting the nearby, as the physical and social space connecting home and the intimately familiar on the one hand with the anonymous urban environment and the larger world on the other. We notice a growing sense that this space is under threat, vacated by people's increasing reliance on securitised access, electronic communication, and delivery services, so that a crucial source of social experience is diminished. We seek to support ethnographic projects that address the ongoing significance of the nearby in contemporary Chinese urban experience, both by studying people's individual perceptions of and engagements with this space and by looking at collective efforts to resuscitate and shape it. Such initiatives may centre on neighbourhood sociality, economic revitalisation, ecological concerns, the built environment, the provision of care, and artistic expression, among other possibilities.

Tasks and Profile

The essential duty of the PhD student will be to develop, write and submit a PhD dissertation on a subject of relevance to this project. This should include a substantial period of ethnographic field research.
The candidate should have completed a master’s degree or equivalent at a German university or international university of similar standing, either in social anthropology or a closely related discipline. You have a genuine interest in empirical research that draws on the theories and methods of social anthropology. Ideally, you will also have training in philosophy, art and aesthetics, urban studies, or social design. You should be proficient in English and have a strong foundation in Chinese.

Our Offer

The PhD position is awarded for three years, with the possibility of an extension up to 12 months (pending a positive evaluation). Employment will be on a full-time, contractual basis, with sufficient additional funding for fieldwork. The workplace is Halle (Saale), a dynamic, historical town in central Germany (Sachsen-Anhalt) that is home to the renowned Martin Luther University and numerous scientific institutions. The MPI offers a job ticket, company health management, and childcare services in cooperation with local day-care centres.

The successful candidate will be integrated into the Institute’s International Max Planck Research School “Global Multiplicities” (https://www.imprs-gm.mpg.de), which offers comprehensive structured doctoral training and scientific exchange with doctoral students from our partner universities (MLU, Leipzig University and FAU).

The Max Planck Society is committed to raising the proportion of women in science; we thus explicitly encourage applications from female researchers. Individuals with disabilities will be given priority, assuming equal qualifications.

Contact

Please submit your application electronically by 30 April 2026 following the link for vacancies on our homepage (under ‘Career’), or by going directly to the online application form using the link below. 

• Signed cover letter explaining your interest in, and suitability for, the positions
• Curriculum vitae including a list of publications
• Three-page proposal for a dissertation project, including details about the state of preparation, methodology, and a possible timeline 
• Writing sample (e.g., a publication or chapter from master’s thesis)
• Copies of all relevant degree certificates and academic transcripts from both the bachelor’s and master’s level

Informal enquiries concerning the positions may be directed to Jeremy Rayner (rayner@eth.mpg.de).

If you have any questions about the application, please contact:

Human resources management

Nadine Wagenbrett (wagenbrett@eth.mpg.de)

We look forward to receiving your completed online application under: 

https://recruitingapp-5034.de.umantis.com/Vacancies/525/Application/New/2

Further information on the research agenda of the Max Planck Institute is available on our website: https://www.eth.mpg.de/2169/en

Who we are:

In ECOSENSE we explore new ways to quantify ecosystem processes and stress impact of climate change by developing novel sensor principles and measurement methods (https://uni-freiburg.de/ecosense/). We established a comprehensive infrastructure and sensor network in a nearby forest including three canopy access towers.

For our second phase starting this July we are seeking 15 doctoral from environmental and engineering sciences. ECOSENSE offers highly interdisciplinary research and training in a cooperative and vivid working environment.

In Subproject B4, we will investigate gene expression of trees and their leaf microbiomes in the ECOSENSE Forest to identify stress-responsive plant genes and microbial shifts. Coupled with ECOSENSE’s high-resolution sensor network, expression patterns will be interpreted in the context of the microenvironment and linked to ecophysiology. In addition, we will investigate gene expression of trees in controlled climate chamber and Ecotrone experiments to address herbivore response and tree-to-tree signaling. A close collaboration with the Technical Faculty is planned to establish a microfluidic system for on-site qPCR reactions (Dr. Jacob Hess, IMTEK). The project will be jointly supervised by Prof. Dr. Katrin Heer and Dr. Cristina Zamora (University of Valladolid).

Your Task:

In ECOSENSE, you will collect tissue samples for RNA extraction from trees in the ECOSENSE forest across strata, and also from the experiments, you will optimize RNA extraction protocols with our partner group led by Dr. Jacob Hess, you will carry out qPCR experiments, and analyze the RNAseq data as well as the qPCR data using Unix systems and R. You will also present and discuss your results in our working group seminar, and also at (inter)national conferences. Finally, you will publish the results in collaboration with other collaborators in ECOSENSE.

Your qualifications and contributions to ECOSENSE:

• You hold a Master’s degree in Forest Sciences, Biology, Environmental Sciences or related fields
• Experience in gene expression analysis in plants or more generally, in plant genomics
• Good skills in laboratory work (RNA or DNA extractions, qPCR analysis) and statistical analysis
• Experience with field work and the ability to work under demanding field conditions (work at height at the canopy access towers)
• Experience in bioinformatic analysis and forest ecology or willingness to learn about both
• Ability to work independently and as part of an interdisciplinary team
• Excellent English skills
• Great enthusiasm for working in a large interdisciplinary project and interest in collaborative research
• You hold a driver´s license valid in Germany.

What we offer:

• An exciting interdisciplinary topic with a high socio-ecological impact
• A salary according to TV-L E13 (75%)
• Contracts will initially run for three years with an option of extension until the end of the CRC’s second phase, which will be June 2030.
• odern laboratory equipment and a highly qualified, multicultural team, which will cooperate with you and support you along your professional growth. 

The work on your dissertation will be strengthened by the CRC’s own integrated Research Training Group (RTG) providing a tailored qualification program for all our doctoral candidates. Within this RTG all early career researchers will form a tight group of scientists being connected across the borders of disciplines fostering a constant and mutual exchange.

The funding of the here advertised position is still subject to the DFG’s final approval for a second phase by midst of May 2026.

Please upload all documents (letter of application, CV, credentials) under the submission portal of the University of Freiburg. The deadline for applications is April, 20th 2026.

For any questions regarding the position, please contact Prof. Dr. Katrin Heer.

The position is initially a 3-year fixed-term contract with the possibility of extension until June 30, 2030. The salary will be determined in accordance with 13 TV-L.

We will be particularly pleased to receive applications from women for the position advertised here.

Project description: The Department of Epidemiology consists of more than 40 employees (HZI | Epidemiology).Our research focuses on the fundamental relationships between the occurrence, spread and prevention of infectious diseases in the human population at national and international level. We are working on the area of immunology and infection as part of the NAKOhealth study (www.nako.de). The infrastructure of the department also includes the PhD Programme "Epidemiology".

VBD-MODE is an interdisciplinary German consortium that advances modelling and forecasting of vector-borne diseases toestimate current and future burden and strengthen preparedness. It integrates climate, environmental, land-use and socio-economic drivers to predict vector distribution, transmission potential and outbreak risk for pathogens such as West Nile fever, tick-borne infections and Aedes-borne diseases (e.g.,dengue), using multi-model ensembles and scenario-based projections. The project combines process-basedeco-epidemiological models with statistical/ML approaches and health-economicmodelling to assess the impact and cost-effectiveness of interventions, including vaccination and surveillance strategies. Inparallel, VBD-MODE builds national capacity through standardized data integration, stakeholder exchange, training and open prediction challenges, translating modelling insights into actionable recommendations for Germany’s public health resilience. 

Tasks include:

• Generation and running of dynamic models for vector-borne diseases
• Data analysis of public health and cohort data with epidemiological methods
• Evidence synthesis to support model parameters
• Conduct and organization of epidemiological studies and sample collections
• Conduct and supervision of laboratory analyses, in particular immunological assays
• Data management and programming in R and Python
• Writing and contribution to original publications
• Coordinate contribution to modelling projects and platforms supporting reporting, communication and meeting organization
• Supporting teaching for medical and public health students
• Assistance with drafting project-related grant applications
• Presenting the results at scientific conferences
• Assistance with project management and administration

Qualifications:

• University degree in mathematics, biostatistics or data sciences with experiences in dynamic modelling and additional degree in health-related sciences e.g. epidemiology 
• Alternatively: medical degree or health sciences degree with additional degree in data sciences, biostatistics and experiences in dynamic modelling 
• Very good knowledge of statistics and R, Python or Stata 
• Excellent data management and programming skills in R and/or Python 
• Very good knowledge of English 

Advantage: 

• Good knowledge of German 
• Experience in dynamic modelling of infectious diseases 
• Laboratory methods for serology/ELISA (experience gained during MSc or BSc studies desirable) 
• Knowledge on/ experience in Machine learning approaches 

We offer: 

• Modern laboratories, incl. BSL3 
• State-of-the-art analytical instrumentation (spectral analyzer, sorting facility, single cell genomics pipelines) 
• Ample biological profiling platforms (in vitro and in vivo) 
• A lively scientific community and a corporate culture of appreciation & promotion of equal opportunities 
• 30 days of vacation, (24.12. & 31.12. are considered as completely free days) 
• An annual additional payment (Weihnachtsgeld) analogue to § 20 TVöD 
• Social security included 
• DO IT- Promotionsinitiative 
• Welcome Office 
• Buddy System for new doctoral researchers 
• Family Office, Child Holiday Care 
• One of the strongest research region in Europe 
• Central location within Germany, various metropolitan areas (i.e. Berlin, Hamburg, Frankfurt, Hannover) and recreational areas (i.e. Harz, Lüneburg Heath, North Sea) can be reached very quickly and easily by train – it is also close to the airport Hannover. 

People with severe disabilities and equivalent professional qualifications who are suitable for the position are given preference. In order to protect your rights, we ask you to provide us with a clearly recognizable reference to the existence of a degree of severe disability in your cover letter or resume. 

The HZI is actively committed to equality, diversity and integration. For this reason, the HZI pursues the goal of professional equality between women and men. The position is suitable for part-time work. 

Starting date: As soon as possible. Initial contract for 3 years, subject to final approval and funding release by the external funding provider. 

Salary: alike E 13 TV EntGO Bund (65%) 

Working time: 19,50 hours per week 

Place of work: Braunschweig 

Probation period: 6 months 

Closing date: 21/04/2026 

Doctoral Candidate f/m/d in computational proteomics/bioinformatics with a focus on plant proteomics in Freising, Germany

The graduate college “The Proteome that Feed the World”:

Plants are the nutritional basis of life on earth and protein-rich foods from plants are a global megatrend essential for sustaining an increasing human population and counteracting climate change. However, little is known about crop proteomes – the entirety of proteins that execute and control nearly every aspect of life. Therefore, TUM pursuits for the second time the visionary doctoral program with high socio-economic relevance on the topic of “The Proteomes that Feed the World” with the aims:

1. To train and develop future leaders in science, industry and society who excel in research, management and communication. This will be achieved by implementing a professional training and project management structure in which doctoral candidates (DCs) master challenging roles, take on substantial responsibility and acquire important transferable skills.

2. To conduct studies with the proteome atlas of the 100 most important crop plants for human nutrition. This enables an interdisciplinary project with leading expertise in plant science, proteomics and bioinformatics. Added value comes from a large international network of excellent academic and industry partners as well as a vibrant local scientific community.

The project:

Mapping how proteins form and remodel their interaction networks is essential for deciphering the dynamic proteome. Our DC will combine co-expression patterns from the crop proteome atlas, new proteomics data, and protein structure predictions to build a graph neural network that predicts condition-specific protein-protein interactions. High-confidence predictions are expected to feed into protein function classification, shedding light on the uncharacterized and dark proteome. We aim to integrate post-translational modification information mined from the crop proteome atlas, newly generated data, and publicly available resources to complement the network. Ultimately, this project will guide strategies to enhance crop resilience and productivity by leveraging condition-specific networks in plant proteomes. In addition, the doctoral candidate will actively participate in the maintenance and further development of ProteomicsDB particularly in relation to all data acquired in the context of the graduate college “The Proteome that Feed the World”.

Requirements:

Candidates must hold a master’s degree in data engineering, Data Science, Bioinformatics, Informatics, or a related discipline. Essential skills include theoretical knowledge of and practical skills in statistical analysis, data mining, data integration, machine learning, programming, backend or frontend development, and database design. Additional desirable skills include a sound understanding of proteomic or related technologies as well as basic biological and (bio)chemical concepts. Interest in understanding technologies in proteomics research using mass spectrometers is expected. We are looking for a self-motivated and broadly interested individual with high potential and a strong sense of responsibility. Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects are essential. Good inter-cultural and inter-personal communication skills as well as the ability to present in English are also important. We aim to recruit individuals of the highest potential typically from the top 10% of an academic year.

Our offer:

You will join a young and highly motivated team of interdisciplinary bioinformaticians who use the latest proteomic approaches to gain insight into the biological processes that govern life. TUM is one of the best academic institutions in Germany and offers a stimulating work environment and excellent future perspectives. The positions are available for four years (10/26 – 09/30). Remuneration is in accordance with TV-L E13 according to the professional qualification. You will join an interdisciplinary team of life scientists and bioinformaticians who use the latest proteomic approaches and equipment to better understand plant biology. The TUM is one of the best academic institutions in Germany, a well worked out international program, offers a stimulating work environment and excellent future perspectives. 

Equal opportunity:

TUM is aiming to increase the proportion of women and therefore expressly welcomes applications from women. The position is also suitable for severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal.

Application process:

Applicants should send a dossier containing a motivational statement (max. one page), a curriculum vitae summarizing qualifications and experience, copies of degrees and transcripts of study records, names and the email addresses of at least one referee as a single PDF document and no later than May 30th, 2026 to Prof. Mathias Wilhelm (mathias.wilhelm@tum.de) with Armin Soleymaniniya (armin.soleymaniniya@tum.de) in CC. Online interviews will be conducted with selected candidates and remaining shortlisted candidates may be invited to the TUM campus in Freising, Germany. Successful candidates are required to start no earlier than October 1st 2026, but latest by 1st April 2027.

Data Protection Information:

When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the data protection information on collecting and processing personal data contained in your application in accordance with article 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability, the energy efficiency and the safety of industrial processes.

The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental analyses of Ion-Specific effects on Bubble-Particle Attachment and Bubble-Bubble Coalescence in Flotation. 

Your tasks

• Measure ion-specific effects on bubble-particle attachment and detachment using an innovative flotation kinetics apparatus
• Study particles from industrial partners to map attachment and detachment kinetics as functions of water composition, reagents, dosages, and their interactions
• Quantify ion-specific effects on bubble coalescence using innovative multicolour thin-film interferometry
• Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model development
• Use an inline endoscope and an optical fiber Doppler probe (OFDP) to determine bubble surface loading as well as bubble size and velocity
• Integrate and interpret measurement data to derive robust relationships between water chemistry, reagents, and interfacial flotation mechanisms
• Support model development and model parameterization (e.g., attachment/detachment kinetics, coalescence models) based on experimental data
• Document, present, and publish results in reports, scientific contributions, and project meetings

Your profile

• Completed university studies (Master/Diploma) in the field of Process Engineering, Chemical Engineering, Chemistry (especially Physical Chemistry / Surface Chemistry), Physics, Mechanical Engineering, Materials Science, or a comparable discipline
• Experience in or strong interest in interfacial physics/chemistry, surface science, wetting, thin films, and colloidal/interfacial phenomena
• Experience in or strong interest in bubble-particle interactions, especially attachment/detachment and flotation kinetics
• Basic familiarity with multiphase measurement systems (e.g., optical probes, inline endoscopy, interferometric methods) is an advantage
• Interest in model development and model parameterization based on experimental data (e.g., kinetic models, coalescence models) is desirable
• Independent, structured, and reliable way of working in the laboratory
• Strong problem-solving skills in experimental setup, instrumentation, and measurement campaigns
• Good teamwork and communication skills in an interdisciplinary project environment
• Willingness to collaborate with industrial and academic partners and to participate in experimental campaigns; a secondment of around 3 months in Cape Town, South Africa is planned
• Good programming skills for data analysis, image processing, and model fitting (e.g., Python, MATLAB)
• Good written and spoken English

Our offer

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability, the energy efficiency and the safety of industrial processes.

The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and Multiscale Measurement Techniques for Hydrodynamic Characterization of Flotation Cells. 

Your tasks

• Measure and analyze flow-field and turbulence quantities, including turbulent kinetic energy (TKE), using PIV/LIF as well as fiber-optic and piezoelectric vibration sensors
• Investigate gas dispersion in different zones of the flotation cell by determining bubble size distributions (e.g., using optical probes) and/or by applying ultrafast X-ray tomography (e.g., ROFEX)
• Develop and further improve multi-sensor and imaging-based measurement methods to capture key process variables in different zones of the flotation cell
• Integrate and interpret data from different sensors and measurement techniques to provide a consistent hydrodynamic validation dataset for flotation-cell CFD studies carried out by collaborating researchers

Your profile

• Completed university studies (Master/Diploma) in the field of Process Engineering, Mechanical Engineering, Chemical Engineering, or a comparable discipline
• Experience or strong interest in fluid dynamics, turbulence, multiphase flows, and bubbly flows
• Familiarity with multiphase measurement systems (e.g., PIV, piezoelectric vibration sensors)
• Independent, structured, and reliable way of working in the laboratory
• Strong problem-solving skills in experimental setup, instrumentation, and measurement campaigns
• Willingness to collaborate with industrial and academic partners and to participate in experimental campaigns; a secondment of around 3 months in Chile is planned
• Basic to good programming skills for data analysis and image processing (e.g., MATLAB, Python)
• Good written and spoken English

Our offer

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

For TUD Dresden University of Technology diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Physics, the Junior Research Group “Quantum Critical Matter” at the Institute of Theoretical Physics offers a position as

Research Associate / PhD Student  (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting as soon as possible. The position is limited to 3 years and comprises 75 % of the fulltime weekly hours. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD).

Tasks: The Junior Research Group “Quantum Critical Matter” studies novel phases and phase transitions in quantum many-body systems. The group is part of the Würzburg-Dresden Cluster of Excellence “Complexity, Topology and Dynamics in Quantum Matter” and the DFG-funded Collaborative Research Center 1143 “Correlated Magnetism: From Frustration to Topology”. Possible tasks for this position include the investigation of novel quantum phases in correlated electron systems and frustrated quantum magnets, using numerical or analytical many-body techniques.

Requirements: 

• very good university degree in physics or a related area
• interest in problems of theoretical condensed matter
• willingness to collaborate with experimental and numerical groups

More information on the Junior Research Group can be found under https://tu-dresden.de/mn/physik/itp/das-institut/ag/arbeitsgruppe-quantum-critical-matter?set_language=en. If you have questions, please contact Dr. Lukas Janssen via phone +49 351 46336111 or email lukas.janssen@tu-dresden.de.

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Application: Please submit your detailed application with the usual documents by April 30, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to lukas.janssen@tu-dresden.de or to:

TU Dresden, Junior Research Group “Quantum Critical Matter”, Dr. Lukas Janssen, Helmholtzstr. 10, 01069 Dresden, Germany. 

Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

TUD is a founding partner in the DRESDEN-concept alliance.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: 
https://tu-dresden.de/tu-dresden/arbeiten-an-der-tud/stellenangebote/Datenschutzhinweis?set_language=en

The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungs­zentrum Jülich plays a leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and visualization of high-dimensional omics data from the field of bioeconomics, and in the modeling, simulation, and engineering of biomolecular systems, including enzymes. Apply your data science skills to real-world challenges! At the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de. Institute specific promise here.

We are looking to recruit a

PhD position – Co-regulation structures for large-scale single-cell transcriptomics – within the HDS-LEE graduate school

Your Job:

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
   
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks
   
• Design and implement clustering and integration approaches (e.g., network-based and subspace clustering)
   
• Use co-regulation networks for gene function and protein-protein functional relationship prediction (guilt-by-association), and benchmark them against existing bulk co-expression resources
   
• Compare and optimise the developed methods on real biological datasets; work closely with experimental partners for interpretation and validation of results
   
• Contribute to the integration of the developed methods into open-source software tools and data portals of the institute
• Collaborate with internal and external, as well as national and international, project partners
   
• Present your results at national and international conferences
   
• Prepare scientific publications and project reports

Your Profile:

• Genuine interest in data science and one or more of its application domains: life and medical sciences, earth sciences, energy systems, or material sciences
   
• A master's degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related field
   
• Proficiency in at least one programming language (Python, R, C++, Julia, …)
   
• Good analytical skills with a sound understanding of data evaluation
   
• Prior experience with single-cell data analysis, network analysis, or machine learning is a plus
   
• Good organisational skills and ability to work both independently and collaboratively
   
• Effective communication skills and an interest in contributing to a highly international and interdisciplinary team
   
• Motivation for academic development, supported by bachelor’s and master’s transcripts and two reference letters
   
• Working proficiency in English for daily communication and professional contexts (TOEFL or equivalent or exemption required)
   
• Knowledge of German is beneficial

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungs­zentrum Jülich, HHU Düsseldorf and Aarhus. We offer ideal conditions for you to complete your doctoral degree:
 

• Outstanding scientific and technical infrastructure
   
• Cutting edge data is available for analysis
   
• Highly motivated groups as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
   
• Continuous scientific mentoring by your scientific advisors
   
• Chance of participating in (international) conferences
   
• Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/
   
• Qualification that is highly welcome in industry
   
• Further development of your personal strengths, e.g. via a comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/judocs
   
• 30 days of annual leave and flexible working arrangements, including partial remote work
   
• Targeted services for international employees, e.g. through our International Advisory Service

The position is initially limited to three years, with a planned one-year extension. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD Bund) and additionally 60% of a monthly salary as special payment ("Christmas bonus"). Further information on doctoral degrees at Forschungs­zentrum Jülich including our other locations is available at: www.fz-juelich.de/gp/Careers_Docs

Further information on doctoral degrees at Forschungs­zentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation/​identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options for women: https://go.fzj.de/womens-job-journey

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your online application.

APPLY NOW

If your questions have not yet been answered via our FAQs, please send us a message via our contact form.

Please note that for technical reasons we cannot accept applications by e-mail.

www.fz-juelich.de

Apply your data science skills to real-world challenges! At the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de. This position is to be filled at the Institute of Climate and Energy Systems - Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy systems characterized by a high spatial and temporal variability of energy supply and demand. We look forward to your application.

We are offering an interesting

PhD position – Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school)

Your Job:

Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS‑LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton`s method. In particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC‑PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems.

Your tasks in detail:

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks
• Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex optimization layers
• Increase inference efficiency (e.g., GPU acceleration) and assess the applicability domain of learned algorithms
• Publish and present your results in peer-reviewed journals and at international conferences
• Supervise student theses

Your Profile:

• Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a related field
• Strong background in numerical methods and machine learning
• Proficiency in at least one programming language (Python, Julia, C++, …)
• Good analytical skills
• Good organizational skills and ability to work both independently and collaboratively
• Effective communication skills and an interest in contributing to an international and interdisciplinary team
• Working proficiency in English for daily communication and professional contexts

Our Offer:

We offer ideal conditions for you to complete your doctoral degree:

• Pursue a doctoral degree at RWTH Aachen University (Faculty for Mechanical Engineering) under the supervision of Prof. Alexander Mitsos
• Excellent scientific and technical infrastructure
• A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
• Continuous scientific mentoring by your scientific advisors (Prof. Alexander Mitsos, Prof. Uwe Naumann, Dr. Manuel Dahmen)
• Participate in international conferences
• Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/
• Further development of your personal strengths, e. g., via a comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/judocs
• 30 Days of annual leave and flexible working arrangements, including partial remote work
• Targeted services for international employees, e. g., through our International Advisory Service

The position is limited to three years, with a possible one-year extension. Pay is in line with 75 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt

Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation/identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options for women: https://go.fzj.de/womens-job-journey

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your online application.

APPLY NOW

If your questions have not yet been answered via our FAQs, please send us a message via our contact form.

Please note that for technical reasons we cannot accept applications by e-mail.

www.fz-juelich.de

Research areas:
Cell and Molecular Biology * Developmental Biology
Vascular Biology * Immunology
Biophysics * Neurobiology
In vivo Imaging * High Resolution Optical Imaging
and more.

Applications for the PhD program can be submitted from 2 March to 1 May 2026. Projects start in October 2026 (earlier starts are possible if desired). Applications can only be submitted via our online system.

For online application and further information go to:
https://www.uni-muenster.de/CiM-IMPRS

We offer 16 fully financed PhD positions. More positions financed by work contracts may be offered depending on availability. Excellent scientific and transferable skills trainings, competitive work contracts as well as support with administrative matters, accommodation, and visas are part of the program. There are no tuition fees. The program language is English. We invite applications from highly qualified and motivated students of any nationality. Be part of CiM-IMPRS, a program run jointly by the University of Münster and the Max Planck Institute for Molecular Biomedicine.

Contact: cim-imprs@uni-muenster.de

With cutting-edge research in the fields of Energy, Health and Matter, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Institute of Fluid Dynamics conducts both fundamental and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics to enhance the sustainability, the energy efficiency, and the safety of industrial processes.

The Department Process Diagnostics develops highly precise measurement techniques, e.g., ultrafast X-Ray tomography, ultrasound techniques and inductive methods, to characterize multiphase flows in fluids. These techniques can also be applied to non-transparent fluids as liquid metals. We are seeking a PhD Student (f/m/d) to contribute to the “Development of a demonstrator for solidification processes in continuous casting of steel”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249.

Your mission

The aim of the project is the development of a physical model of the initial solidification of steel during continuous casting. The process covers 96 % of the total production volume of steel world-wide. The tasks cover the construction of the laboratory demonstrator using low-melting metal alloys including the incorporation and further development of different measurement techniques (X-Ray radioscopy, ultrasound velocimetry, inductive flow tomography, temperature sensors) to detect the solidification front, temperature and velocity distributions within the liquid metal. The experimental works are supported by numerical simulations of project partners inside the doctoral network. Within the project duration of 36 months three transnational secondments of two months each are planned to acquire further knowledge and foster scientific exchange.

Your tasks

• Design and construction of a physical model of the solidification during continuous casting using low-melting metal alloys
• Incorporation of different measurement techniques, amongst others ultrasound velocimetry, inductive flow tomography, X-Ray radioscopy
• Realization and evaluation of laboratory experiments
• Compilation of project reports and scientific publications
• Close collaboration with project partners
• Participation in secondments with industrial partners SWERIM (SE), Tata Steel Europe Ltd. (NL) and Kaunas University of Technology (LT)

Your profile

• Completed university degree (M.Sc. or Diploma) in mechanical, electrical, process engineering or comparable subject
• Excellent communication skills and motivation to work in an interdisciplinary and international research environment
• Affinity to experimental work
• Willingness to travel and participate in international secondments
• Excellent written and spoken English skills
• Experience in magnetic field measurements, ultrasound techniques, X-Ray radioscopy helpful
• Programming experience in Python helpful

Our offer

• A vibrant research environment within an open, diverse, and international team
• Multi-sectoral research and multi-national collaboration with fellows in the network
• Comprehensive network-wide and local training in technical and soft skills
• Attractive secondments at leading academic and industrial network partner institutions
• Salary in accordance with the EU MSCA regulations for Doctoral Researchers (page 118ff) - MSCA regulations
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

Additional information

The candidate will be registered as a doctoral student at Dresden University of Technology. The EU Mobility Rule applies. That is, the candidate must not have resided or carried out her/his main activity (work, studies, etc.) in the host country (in this case Germany) for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

PhD students are supported by a Thesis Advisory Committee, participate in scientific and professional skills courses, attend international conferences and receive career development support. The language of the PhD program is English. Full funding is provided for the duration of the 
PhD, either by the DKFZ, or by third-party funding.

Research at the DKFZ is organized into the following programs with a lot of interaction and interdisciplinary PhD projects available across different topics:

• Cell Biology and Tumor Biology
• Functional and Structural Genomics
• Epidemiology, Public Health, Prevention and Survivorship
• Immunology, Infection and Cancer
• Imaging and Radiooncology

Do you want to join our lively and international community of over 500 PhD students to do your PhD at Germany’s largest biomedical research institute? Then apply now!

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Institute of Fluid Dynamics conducts both fundamental and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics to enhance the sustainability, the energy efficiency, and the safety of industrial processes.

The Department of Computational Fluid Dynamics is seeking a PhD Student (f/m/d) to contribute to “Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249.

Your mission

The objective of this PhD project is to advance computational fluid dynamics (CFD) methods for the analysis of structural vibrations induced by two-phase flow. The research will investigate how phase distribution and flow velocities influence fluid–structure interaction (FSI) and will focus on developing novel sub-models for coupled CFD–FEM simulations.

Your tasks

• Conduct a comprehensive literature review of state-of-the-art numerical approaches for CFD–FEM simulations, with particular emphasis on the impact of gas–liquid two-phase hydrodynamics on FSI
• Design and set up a dedicated test section for investigating FSI in bubbly gas–liquid flows with axial and radial inflow at the TOPFLOW thermal-hydraulic test facility
• Qualify ultrafast X-ray tomography for the simultaneous measurement of two-phase flow characteristics and rod vibration in a rod bundle geometry
• Perform experimental investigations under varying flow conditions and carry out a phenomenological analysis of FSI, including its dependence on phase distribution and flow velocities
• Develop new sub-models for CFD–FEM simulations of two-phase flow–induced vibrations
• Conduct coupled numerical simulations and compare structural displacements induced by single-phase and two-phase flows
• Collaborate closely with our project partners
• Participate in secondments with academic and industrial partners, including: Two months at Ghent Universitty (BE); Two months at Fluiidd company (FR); Two months at WACKER company (DE)

Your profile

• Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Computational Science, or a related discipline
• Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation
• Practical experience in programming, CFD, and FEM analyses is an advantage
• Excellent communication skills and motivation to work in an interdisciplinary and international research environment
• Willingness to travel and participate in international secondments
• Excellent written and spoken English skills

Our offer

• A vibrant research environment within an open, diverse, and international team
• Multi-sectoral research and multi-national collaboration with fellows in the network
• Comprehensive network-wide and local training in technical and soft skills
• Attractive secondments at leading academic and industrial network partner institutions
• Salary in accordance with the EU MSCA regulations for Doctoral Researchers (page 118ff)
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

Additional information

The candidate will be registered as a doctoral student at Dresden University of Technology. The EU Mobility Rule applies. That is, the candidate must not have resided or carried out her/his main activity (work, studies, etc.) in the host country (in this case Germany) for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

The Department of Theoretical and Computational Biophysics (Prof. Dr. Helmut Grubmüller) is inviting applications for a

PhD Student (f/m/d)

for the project

Theory and Algorithms for Structure Determination

from Single Molecule X-Ray Scattering Images

Project description

Single molecule X-ray scattering experiments with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with data from the European XFEL facility at DESY.

Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction

Your profile

Eligible candidates have strong skills in computational physics and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or equivalent degree in physics, mathematics or any related field.

What we offer

• State of the art on-site high performance/GPU compute facilities
• Competitive research in an inspiring, world-class environment
• A wide range of offers to help you balance work and family life
• Further training opportunities and free in-house language courses

The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German. The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an impressive scientific heritage.

Position details

You will have the opportunity to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. Payment and benefits are based on the wage agreement for public service personnel (TVöD Bund) guidelines. We would like to fill the position as soon as possible, but the exact start date is flexible.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and, therefore, encourages applications from such qualified individuals. The Max Planck Society strives for diversity and gender equality and welcomes applications from all backgrounds.

Application
Applications will be reviewed on a rolling basis until the position is filled. Please submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) preferably via e-mail and as a single PDF file to: 

ausschreibung02-26@mpinat.mpg.de

Max Planck Institute for Multidisciplinary Sciences
Department of Theoretical and Computational Biophysics
Prof. Dr. Helmut Grubmüller
Am Faßberg 11
37077 Göttingen
Germany

Social Media: CompBioPhys

Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.

Specific research questions that will be addressed in this project include:
1. What is the occurrence of priority contaminants in prospective water supply sources for GH2 production?
2. Which membrane processes are suitable for priority contaminant removal in specific water supply sources?
3. What are the economic implications of membrane process selection in terms of overall costs to GH2 production?

This project is mainly laboratory-based and will begin with identification of research questions from a detailed literature review focused on the requirements of water in GH2 production from a technological, water quality, economic, and circular economy perspective. A preliminary research proposal is required for application, including a tentative timetable for the four-year project to be submitted to DAAD. Development of relevant analytical methods and setting up of required laboratory equipment will be conducted in parallel. Execution of the research plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher!

Throughout this project, there will be multiple opportunities to collaborate with internal and external partners, supervise Master’s students, give oral presentations at conferences, write high-impact journal articles, as well as share research knowledge via teaching.

Qualifications

The candidate will hold a Master’s in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn and has a strong interest in research. Experience in the design, operation, or maintenance of membrane filtration systems (of any scale) is a definite advantage, as well as experimental problem solving skills and good common sense. Excellent English language proficiency is essential, basic German an advantage. 

About KIT

KIT is one of the biggest research institutions worldwide and has access to state-of-the-art research facilities. This project is hosted by the relatively new Institute for Advanced Membrane Technology (IAMT) in collaboration with Dr. Graham Gagnon of the Centre for Water Resources at Dalhousie University in Halifax, Canada. The PhD student will be registered at KIT in the Faculty of Chemical and Process Engineering and spend time in Canada. The IAMT research team is international and the language is English (oral and written communication). 

Contact

Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49 (0)721 608 26906, Andrea.Iris.Schaefer@kit.edu, https://www.iamt.kit.edu

Applications

Please send applications with CV, publication list and your contribution to the publication (if relevant), academic transcripts, degree certificates, contact details for three references and a preliminary research proposal to the above contact. A valid driver’s license is required.

The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside the membrane pores and their impacts on the removal of a variety of micropollutants, iii), investigation of membrane characteristics and selection criteria, and iv) design of membranes to achieve complete removal.

There are many aspects of this project that require in-depth research and development, to address the following research questions;

• Can novel nanofiltration membrane fully remove different types of micropollutants and how micropollutant removal be verified?
• What are the mechanisms for micropollutant removal with these membranes?
• What are the limiting factors to micropollutant removal, and which membrane features allow overcoming such limitation? 

The PhD project will be largely experimental with some modelling aspects, and will begin with an identification of a set of research questions based on a detailed literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments, sample and data analysis and write-up of results for scientific publication are part of the PhD process – a journey to become an independent researcher!

Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervision of Master students, giving oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge via (a minimal amount of) teaching. Career development through many team activities is an opportunity to attain leadership skills and prepare for exciting professional opportunities in industry or academia.

Qualifications

The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong interest in research. Experience with membrane filtration systems (of any scale) is a definite advantage, as well as being comfortable in specifying system components and sound experimental problem solving skills – as well a good common sense. Excellent English language proficiency is essential, basic German language skills of advantage.

About KIT

KIT is one of the biggest research institutions worldwide and has access to state-of-the-art research facilities resulting from the merger of the National Research Centre of the Helmholtz Association and the former Technical University of Karlsruhe. This project is hosted by the new Institute for Advanced Membrane Technology (IAMT). The PhD will be registered in the Faculty of Chemical and Process Engineering.

Contact

Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49(0)721 608 26906, Andrea.Iris.Schaefer@kit.edu , https://www.iamt.kit.edu.

Applications

Multiple positions are available!

Please send applications with CV, publication list and your contribution to the publication (if relevant), academic transcripts, degree certificates, contact details for three references and a preliminary research proposal to the above contact. A valid driver’s licence will be required. A read of our publications on micropollutant – membrane interactions will help preparations!

The project will include i) operation of novel continuous electrodialysis system with fluctuating energy, ii) examination of water contaminants in brackish water treatment, iii) evaluation of results in comparison to established nanofiltration and reverse osmosis processes, iv) national and international field work.

There are many aspects of this project, that require in-depth research and development, including;

• Feasibility studies on contaminant removal in a solar powered electrodialysis process 
• Establishment of the most suitable energy management scenario in collaboration with the renewable energy colleagues at IMT
• Elucidation of the dominant separation mechanisms, to achieve both fundamental understanding and optimized process performance

The PhD project will be predominantly experimental and will begin with an identification of a set of research questions based on a detailed literature survey. A preliminary research proposal is required for the application stage with a timetable for a four-year research project. Execution of the research plan through conducting of experiments, sample and data analysis and write-up of results for scientific publication are part of the PhD process – a journey to become an independent researcher!

Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervision of Master students, giving oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge via (a minimal amount of) teaching. Career development through many team activities is an opportunity to attain leadership skills and prepare for exciting professional opportunities in industry or academia.

Qualifications

The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong interest in research. Experience with membrane filtration and electrochemical systems (of any scale) is a definite advantage, as well as being comfortable in specifying system components and sound experimental problem solving skills – as well a good common sense. Excellent English language proficiency is essential, basic German language skills of advantage.

About KIT

KIT is one of the biggest research institutions worldwide and has access to state-of-the-art research facilities resulting from the merger of the National Research Centre of the Helmholtz Association and the former Technical University of Karlsruhe. This project is hosted by the new Institute for Advanced Membrane Technology (IAMT) in collaboration with Prof. Bryce Richards (IMT). The PhD will be registered in the Faculty of Chemical and Process Engineering.

Contact

Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49(0)721 608 26906, Andrea.Iris.Schaefer@kit.edu , https://www.iamt.kit.edu.

Applications

Multiple positions are available!

Please send applications with CV, publication list and your contribution to the publication (if relevant), academic transcripts, degree certificates, contact details for three references and a preliminary research proposal to the above contact. A valid driver’s licence will be required. A read of publications on Renewable Energy Powered Membrane Systems will assist preparations!

There are many aspects of this project, that require in-depth research and development, including:

• Can a photocatalytic membrane fully degrade contaminants and how can full degradation be verified?
• What are the most suitable photocatalytic material characteristics for micropollutant degradation in water and what are selection criteria / tools?
• What are the mechanisms behind membrane photocatalysis and how can these be quantified? 

The PhD project will be largely experimental and will begin with an identification of a set of research questions based on detailed literature survey. The preliminary research proposal required for application with a timetable for the four-year research project. Required equipment will be set up and further development of relevant analytical methods will follow. Establishment of suitable models to explain the results obtained drawing of interdisciplinary and potentially multi-scale approaches will be an opportunity to integrate experiment and model. Execution of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! 

Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervising Master students, giving oral presentations at conferences, writing high-impact journal articles, as well as sharing your knowledge via teaching.

Qualifications

The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious person who is eager to learn more and has a strong interest in research. Experience with membrane filtration systems (of any scale) is a definite advantage, as well as being comfortable in specifying system components and sound experimental problem solving skills – as well a good common sense. Excellent English language proficiency is essential, basic German language skills of advantage.

About KIT

KIT is one of the biggest research institutions worldwide and has access to state-of-the art research facilities resulting from the merger of the National Research Centre of the Helmholtz Association and the former Technical University of Karlsruhe.  This project is hosted by the Institute for Advanced Membrane Technology (IAMT) that collaborates on the topic of photocatalysis and renewable energies with Prof. Dr. Bryce Richards who leads the Nanophotonics for Energy group (IMT & LTI). The PhD will be registered in the Faculty of Chemical and Process Engineering.

Contact

Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49(0)721 608 26906, Andrea.Iris.Schaefer@kit.edu , https://www.iamt.kit.edu.

Applications

Multiple positions are available!

Please send applications with CV, publication list and your contribution to the publication (if relevant), academic transcripts, degree certificates, contact details for three references and a preliminary research proposal to the above contact. A valid driver’s license will be required.

Possible projects are variational free energy methods, thermodynamics of solvation shells, constant‑pH simulation methods, Markovian thermodynamics, as well as functional mechanisms of the ribosome, fatty acid synthase, CRISPR/Cas or intrinsically disordered proteins.

Please indicate in your application which of the above listed projects is most intriguing for you.

Your profile
Eligible candidates have strong skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups.

You hold (or expect to complete soon) a Master’s or equivalent degree in physics, mathematics or any related field.

What we offer

• State of the art on-site high performance/GPU compute facilities
• Competitive research in an inspiring, world-class environment
• A wide range of offers to help you balance work and family life
• Further training opportunities and free in-house language courses

The group language is English, so no German language skills are required – but it is a great opportunity for you to learn German! The historic city of Göttingen, located in the heart of Germany, offers great outdoors and cultural opportunities, a vibrant student scene, and an impressive scientific heritage.

Position details
You will have the opportunity to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s students aiming at a fast-track PhD are also welcome. Payment and benefits are based on the German Public Service Payscale (TVöD Bund) guidelines. We would like to fill the position as soon as possible, but the exact start date is flexible.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and, therefore, encourages applications from such qualified individuals. The Max Planck Society strives for diversity and gender equality and welcomes applications from all backgrounds.

Application
Applications will be reviewed on a rolling basis until the position is filled. Please submit your application including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) preferably via e-mail and as a single PDF file to:

ausschreibung01-26@mpinat.mpg.de

Max Planck Institute for Multidisciplinary Sciences 
Department of Theoretical and Computational Biophysics
Prof. Dr. Helmut Grubmüller
Am Faßberg 11 
37077 Göttingen 
Germany

Web: https://www.mpinat.mpg.de/grubmueller 

Social Media: CompBioPhys

Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.                                                                                                                                                 

The position to be filled is located at the Institute of Smart Sensors at the University of Stuttgart (https://www.iis.uni-stuttgart.de/). We are looking for candidates holding a Master’s degree (or equivalent) in electrical engineering, computer science, physics, or related subjects interested in pursuing research as part of GS-IMTR’s project P14: Intelligent Sensing and On-Chip Learning for Silicon Lifecyle.

Here, project P14 explores the challenges that silicon lifecycle management introduces into the chip design process and, more importantly, the opportunities that it brings to the area of test. In particular, we will focus on the possibilities associated with digital on-chip sensors combined with edge AI in the tester to collect and process the data very efficiently at run-time. Further, we will also investigate the possibility of on-chip online learning on the collected data. The project also involves the developing of a test program for a state-of-the-art data converter, including the collection and processing of statistically relevant data.

The candidates should have a strong background in machine-learning and FPGA programming and be familiar with mixed-signal integrated circuit design.

What we offer:

• The possibility to conduct cutting-edge research as part of GS-IMTR
• Strong interactions with the company Advantest throughout the project
• A stimulating research environment with more than 20 Ph.D. students working on a broad range of IC design topics for various applications in smart sensing for biomedical and materials science applications as well as quantum technologies
• The possibility of obtaining a Ph.D. degree from one of Germany’s leading technical universities
• Access to all state-of-the-art IC design tools
• Large experience in IC manufacturing
• A fully equipped mixed-signal lab for chip characterizations
• Access to state-of-the-art cleanroom manufacturing technologies via a strong collaboration with IMS CHIPS in Stuttgart
• Collaborations with leading industrial and academic partners
• Competitive annual gross salary – depending on experience level – of >45.000€ 

What we expect: 

• The ability to work in a team
• Flexibility and dedication
• Strong motivation to introduce innovations into a current research topic
• Experience in machine learning
• Experience in FPGA programming
• Experience in analog and mixed-signal integrated circuit design
• Strong background in microelectronics or a similar field of study
• Curiosity to expand your knowledge into interesting applications
• Very good knowledge of the English language