Forschungszentrum Jülich
3 days ago
PostDoc / Staff Scientist in Machine Learning for Scientific Applications Forschungszentrum Jülich in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Paid staff scientist/postdoc position classified at EG 13 TVöD-Bund. Contract duration is 2 years with possibility of extension. Additional benefits include 30 days vacation, year-end bonus, pension contribution, and capital-forming benefits.
Country
Germany
University
Forschungszentrum Jülich

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About this position
Forschungszentrum Jülich is advertising a PostDoc / Staff Scientist position in Machine Learning for Scientific Applications at the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8).
The role focuses on computer vision, machine learning, deep learning, image-based science, and scientific AI methods. Research topics include supervised and unsupervised learning, foundation models, uncertainty quantification, robustness, reliability, trustworthiness, and explainability. Application areas mentioned include remote sensing, microscopy of cell colonies, plant sciences, health-care, MRI imaging, and collaborations with domain scientists in neuro- and biosciences.
The position also involves developing novel learning methods, efficient training schemes for large models on high-performance computers such as JUPITER at the Jülich Supercomputing Centre, supervising BSc/MSc/PhD student projects, writing reports and research articles, preparing grant proposals, and presenting work at international conferences.
Eligibility highlights: a Master's degree followed by a PhD in computer science or a related field; strong experience in machine learning, computer vision, image processing, imaging, and/or physics-informed reconstruction; a strong publication record; solid mathematical, analytical, numerical, and programming skills (Python/C++); excellent teamwork and communication skills; and very good English (at least B2 CEFR). German is not required but is appreciated.
Funding and conditions: this is a paid staff position classified at EG 13 TVöD-Bund, with a 2-year contract and possible extension. Benefits include vacation, flexible working options, training, career support, and additional employment benefits.
Location: Jülich, Germany.
Application: apply online as soon as possible; the vacancy remains open until filled. Submit a research statement, CV, degree/exam records, publication and talk list, reference letters, and other relevant documents.
Funding details
Paid staff scientist/postdoc position classified at EG 13 TVöD-Bund. Contract duration is 2 years with possibility of extension. Additional benefits include 30 days vacation, year-end bonus, pension contribution, and capital-forming benefits.
What's required
Master's degree followed by a 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 machine learning venues; solid mathematical background and strong analytical and numerical skills; solid programming skills such as Python and C++; excellent cooperation and interdisciplinary teamwork skills; very good communication skills; very good written and spoken English at least B2 CEFR, ideally supported by a certificate; German is not mandatory but appreciated; high motivation and work ethics.
How to apply
Apply online as soon as possible through the career portal. Include a statement of research interests, CV, list of exams/degrees/grades, list of publications and talks, reference letters, and other relevant material.
More information can be found here
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