Staff Scientist / PostDoc – Machine Learning for Scientific Applications

Forschungszentrum Jülich GmbH; Jülich; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Benefits dieser Stelle

Meaningful tasks

Training & development

Work-life balance

Vacation 30 days

Flexible working hours

International support

Career development

Health & wellbeing

Campus environment

Welcome days

Pension scheme

Year-end bonus

Zusammenfassung

Forschungszentrum Jülich GmbH in Jülich is seeking a Staff Scientist / PostDoc to advance ML for scientific applications, including computer vision for imaging and physics-informed reconstruction. You will develop novel learning methods and work with domain scientists across disciplines.

The role emphasizes robustness, uncertainty quantification, and explainability, with opportunities to publish, secure funding, and collaborate with the Jülich Supercomputing Centre on large-scale systems.

Qualifikationen

• Master's degree with PhD in computer science or related field.
• Rich experience in devising ML models, methods, and algorithms for computer vision, imaging, and physics-informed reconstruction.
• Publications at internationally renowned venues in ML.
• Strong mathematical background and numerical skills.
• Solid programming skills (Python, C++).
• Excellent collaboration in diverse teams and cross-disciplinary thinking.
• Excellent English (CEFR B2) and good German appreciated.

Aufgaben

• Work on computer vision and ML methods for societally relevant applications (neuro- or bio-sciences).
• Advance theory and applicability focusing on robustness, explainability, and reliability.
• Supervise student projects at BSc, MSc, and PhD level.
• Collaborate with JSC to run algorithms on large distributed systems.
• Write reports, research articles, and grant proposals; present at international conferences.

Kenntnisse

Machine learning

Python

C++

Computer vision

Quantitative analysis

Ausbildung

Master's + PhD in CS

Tools

PyTorch

TensorFlow

Jobbeschreibung

Staff Scientist / PostDoc – Machine Learning for Scientific Applications

You are a motivated post-doctoral researcher or a seasoned machine learning scientist looking to make a difference in society through cutting-edge AI research? This is the position for you!

The Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) at Forschungszentrum Jülich is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired, method-driven theory to application-driven research.

Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep learning models, which find application in imaging and image-based science, including in collaboration with domain scientists on and off campus in fields like remote sensing, microscopy of cell colonies, plant sciences, health-care, and MRI imaging. Our mission is not only to create accurate solutions but also quantify model uncertainties, analyze robustness, reliability, and trustworthiness of AI models, and develop methods for explainability of AI solutions.

As part of our team, you will have the opportunity to develop novel learning methods, investigate application and adaptation of foundation models, devise efficient training schemes for large models on high-performance computers like JUPITER at the Jülich Supercomputing Center. If you're passionate about AI research and eager to make a real-world impact, we want to hear from you!

Your Job

• Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g. from neuro- or bio sciences.
• Advance our understanding of the underlying theory, as well as applicability to scientific applications, where robustness, explainability, interpretability, and reliability are as important as high accuracy
• Supervise student projects at BSc, MSc, and PhD level.
• Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed computer systems.
• Write reports and research articles, as well as grant proposals, and regularly participate in international conferences to present your own work.

Your Profile

• Masters degree with subsequent PhD in computer science (or a related field).
• Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics-informed reconstruction.
• Scientific track record with publications at internationally renowned venues in machine learning.
• Solid mathematical background, distinct analytical and numerical skills.
• Solid programming skills (e.g. Python, C++)
• Excellent ability to cooperate with other sciences and to work as part of a diverse team, interdisciplinary and cross-topical thinking.
• Very good communication skills.
• 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. Knowledge of the German language is not mandatory but certainly appreciated
• High motivation and work ethics.

Our Benefits for You

We work on the very latest issues that impact our research field and society, and offer the chance to help shape their future! We support you with:

• Meaningful tasks: A world-leading, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher.
• Knowledge & further training: Comprehensive training offers and individual opportunities for personal and professional development.
• 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, allow you to tailor your working hours to suit your individual needs
• 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
• 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
• Campus experience: Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site. Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view
• 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
• 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
• 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 the BMI website. The monthly salaries in euros can be found on page 74 of the PDF download
• Contract duration: The position is limited to 2 years, with the possibility of extension

In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits

Forschungszentrum Jülich is one of the largest research centers in Europe, with excellent scientific equipment including one of the fastest supercomputers in the world. We are 7600 people located on a green campus offering an international and interdisciplinary working environment. Jülich is close to the border between Belgium, the Netherlands and Germany, and near the cultural centers Aachen, Bonn, Cologne, and Düsseldorf. The quality of life is exceptionally high and the atmosphere is both tolerant and inclusive. For an overview, please see ‘Facts, Figures, People’ (https://www.fz-juelich.de/en/about-us/people/board-of-directors-and-organization/facts-figures ).

The job will be advertised until the position has been successfully filled.

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

Place of Employment: Jülich

Working Hours: 39 Hours / Week

Salary: EG 13 TVöD-Bund

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

Index number: 2026T-0747