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Advertising division: IAS-8 - Data Analytics and Machine Learning
Reference number: 2021-299

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You are a post-doctoral researcher and want to contribute to the rapidly evolving research field of deep learning that has a real impact for domain scientists analyzing their data? This is the position for you! At the newly founded Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we aim at advancing theory and application of data sciences. Our interests range from use-inspired, method-driven theory to application-driven research. We work on the very latest issues that impact our research field and society and are offering you the chance to actively help in shaping the change

We are looking for a postdoctoral research scientist to join our department of Data Management, Mining and Analysis. Our research in data management concerns indexing, efficient access, as well as query processing and similarity search. Our solutions typically consist of algorithmic strategies that allow efficient access to relevant data, often with provable correctness guarantees. A notable focus of our research is the use of modern hardware, i.e., multi-core CPUs and graphics cards (GPUs) on standard desktop or laptop computers, with scalability to high performance computers (HPC). In data analysis, we are interested in concepts and methods for learning from data, featuring both supervised and unsupervised methods. If you are interested in these topics and want to support our team of researchers at IAS-8, then please apply!

We are looking to recruit a

Postdoc – Transfer Learning Methods for Deep Learning in Scientific Applications

Your Job:

  • Work on state of the art methods in transfer learning for deep neural networks
  • Devise machine learning solutions for fields where labelled data is expensive, and often collected under slightly varying experimental conditions, registration guidelines or with different sensors or devices
  • Advance our understanding of the underlying theory, as well as applicability to scientific applications, where explainability, interpretability, and reliability are as important as high accuracy.
  • Supervise student projects at Bachelor’s, Master’s, and PhD level
  • Write reports and research articles, as well as grant proposals, and regularly participate in international conferences and workshops to present your own work
  • Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed computer systems where needed

Your Profile:

  • Masters degree followed by a PhD in computer science (or a related field),
  • Rich experience in devising machine learning models and algorithms.
  • Scientific track record with publications and internationally renowned venues
  • Strong mathematical background, distinct analytical and numerical skills.
  • Solid programming skills (e.g. Python)
  • Excellent ability to cooperate with other sciences and to work as part of a team, interdisciplinary and cross-topical thinking.
  • Very good communication skills in English, both spoken and written.
  • High motivation and work ethics

Our Offer:

  • A world-leading, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and versatile opportunities to grow as a curious researcher.
  • Comprehensive training offers and individual opportunities for personal and professional development.
  • Very good conditions for work-life balance and a family-friendly corporate policy.
  • Full-time position with the option of slightly reduced working hours and 30 days of annual leave
  • Targeted services for international employees, e.g. through our International Advisory Service
  • Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office ( https://www.fz-juelich.de/careercenter )


We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 3 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD).

Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

We also welcome applications from disabled persons.

Additional Information

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 application via our
Online-Recruitment-System!

Questions about the vacancy?
Get in touch with us by using our contact form.
Please note that for technical reasons we cannot accept applications via email.