Postdoctoral Researcher – Computational Electron Microscopy and Machine Learning

Unist; Aachen; Vor Ort; EUR 65.000 - 78.000; Vollzeit

Benefits dieser Stelle

30 days vacation plus extra days off

Flexible working options

Career development support

Company pension scheme

Welcome days and integration program

Zusammenfassung

Forschungszentrum Jülich in Aachen/Jülich invites applications for a Postdoctoral Researcher in Computational Electron Microscopy and Machine Learning. You will bridge electron microscopy with deep learning, identify open questions, and drive method development with a team of data scientists and doctoral researchers.

The role involves training DL models, collaborating with ER-C, publishing in science journals and ML venues, and co-supervising students in a dynamic, international research

Qualifikationen

• Master’s degree and PhD in a closely related field.
• Strong knowledge of electron microscopy and image formation.
• Experience with 4D-STEM, in-situ or operando microscopy, or HR(S)TEM.
• Experience training deep learning models and Python programming.
• Working proficiency with PyTorch or equivalent.
• Interest in developing new methods and deepening ML expertise.
• Excellent communication across disciplines; fluent English.

Aufgaben

• Conduct research at the interface of electron microscopy and ML, adapt methods, analyze data and publish results.
• Identify open questions where ML can advance microscopy beyond instrumentation limits.
• Develop, train and evaluate deep learning models for microscopy data and datasets.
• Define meaningful evaluation criteria and distinguish artefacts from true signals.
• Run simulation studies linking experiment, theory and model behavior.
• Collaborate with ER-C and publish in microscopy and ML venues.
• Co-supervise doctoral and master students and contribute to proposals.

Kenntnisse

Electron microscopy expertise

4D-STEM

In-situ/operando microscopy

Python programming

PyTorch

Machine learning development

English proficiency (CEFR B2+)

Ausbildung

Master’s degree in Physics or Materials Science

PhD in Physics or Materials Science

Jobbeschreibung

Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 31 Oct 2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Area of research:

Scientific / postdoctoral posts

Job description:Postdoctoral Researcher – Computational Electron Microscopy and Machine Learning

The multidisciplinary

Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9)

brings together disciplines ranging from data analysis and machine learning to materials simulation, research data management and software development under one roof. In doing so, we extract new information from simulations and experiments, identify patterns and trends in microscopy data, and improve our understanding of why materials and processes work the way they do. We benefit from a strong connection to the Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C)

and to the Jülich Supercomputing Centre. Within IAS-9, the Deep Learning for Electron Microscopy group develops machine learning methods grounded in the physics of the measurement rather than in generic image statistics. We are looking for a postdoctoral researcher whose scientific home is electron microscopy itself and who wants to develop the computational methods the field now needs: identifying where microscopy questions genuinely require new methods, developing them, and validating them against real experimental data.

Your Job

This position sits at the interface between electron microscopy and machine learning. We are looking for a microscopist or physicist with substantial computational practice who wants to shape how machine learning is developed for electron microscopy – someone who can identify the open questions in the domain and carry them through to new methods. You will work in a team of data scientists and software developers, together with the doctoral researchers of the group, and in close collaboration with the Ernst Ruska-Centre (ER-C). Your tasks will include:

• Conducting research at the interface of electron microscopy and machine learning, including the application and adaptation of established methods, data analysis, and dissemination of results
• Identifying open questions in electron microscopy where progress is limited by analysis rather than by instrumentation, and where new machine learning methods therefore offer genuine scientific gain
• Developing, training and evaluating deep learning models for microscopy data – real-space imaging, 4D-STEM diffraction and in-situ time series – including the construction and characterisation of the experimental and simulated datasets your research requires
• Establishing what physically meaningful evaluation means for such models: what constitutes a correct answer, when an output is an artefact of the measurement, and which failure modes matter for the underlying materials science
• Conducting and interpreting simulation studies (e.g. multislice, Bloch-wave methods) that connect experiment, theory and model behaviour
• Participation in the scientific agenda of our collaboration with the ER-C: bringing microscopy questions into our method development, and turning model results into statements that are meaningful to microscopists
• Publishing in microscopy and materials science journals as well as at machine learning venues, and contributing to open datasets, benchmarks and software
• Co-supervising doctoral and master students, and contributing to proposal writing and to the group’s third-party funded projects

Your Profile

We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:

• Completed Master's degree and PhD in Physics, Materials Science or a closely related field
• In-depth working knowledge of electron microscopy, including image formation and contrast mechanisms, electron diffraction, and substantial experience in at least one of the following: 4D-STEM, in-situ or operando microscopy, or quantitative HR(S)TEM.
• Experience with electron microscopy simulations (e.g. multislice or Bloch-wave methods), or with developing quantitative data analysis pipelines for microscopy data, which would be a strong asset.
• Practical, hands-on experience in training deep learning models, solid programming skills in Python, and working proficiency with PyTorch or an equivalent framework.
• A clear interest in developing methods rather than merely applying them, as well as the motivation to substantially deepen your machine learning expertise within the group.
• Excellent communication skills across disciplinary boundaries; much of the value of this role lies in enabling two research communities to understand one another.
• Strong analytical skills, creativity
• Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR

), ideally supported by a certificate confirming the language level

Our Benefits for You

We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:

• Meaningful tasks: The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding infrastructure and to strengthen your reputation in a dynamic and highly active research field
• Work Environment: A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen
• Work Location: The work location may vary between Aachen and Jülich. Initially, the work will primarily take place in Aachen
• Scientific Exchange: The opportunity to attend national and international conferences
• Work-life balance: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments
• Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's)
• Flexibility: Flexible working time models, including options close to full-time

• Knowledge & further training: Your professional development is important to us – we provide targeted, individual support
• Health & well-being: Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more. In addition, our company medical service and an experienced social counseling team are available to assist you on site
• Successful start: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide
• Fair remuneration: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on theBMI website

. The monthly salaries in euros can be found on page 69 ff. of the PDF download

• Additional benefits: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement amounting to 75% of a monthly salary, as well as capital-forming benefits
• Perspective: After a 2-year fixed-term contract, our goal is to hire you on a permanent basis. Let us use this time to find out how well we fit together or
• Support for international employees: Our International Advisory Service makes it easier for international employees to get started
• Career Center: You will receive explicit support with regard to your career development opportunities

In addition to exciting tasks and a collegial working environment, we offer you much more:

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:

Start Date: As soon as possible

Application Deadline: The position will be published until it is successfully filled

Index number: 2026T-0645

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.