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# Staff Scientist / PostDoc - Machine Learning for Scientific Applications

- **Company:** Forschungszentrum Jülich GmbH
- **Location:** Jülich, Germany
- **Salary:** €156,000.0
- **Contract:** Temporary to permanent
- **Skills:** Computer Vision, C++ (Programming Language), Distributed Systems, Python (Programming Language), Machine Learning, Information Technology
- **Published:** September 15, 2026
- **Apply:** https://www.myability.jobs/de/node/193126/apply-external

## About the Role

* 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.

## Description

* 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.


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