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Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Department of Information Services and Computing is the service, consultation and coordination centre for the Information Infrastructure of the HZDR.

The Department of Computational Science is looking for a

Postdoc (f/m/d) / Scientific Assistant (f/m/d) Helmholtz AI Machine Learning Scientist


Working field:

  • Creation, training, testing and comparison of modern Foundational models for the analysis of hyperspectral data (at best in a team with other partners in Saxony and all of Germany)
  • Research on current topics of image analysis or computer vision and generative AI with multi-modal data
  • Creation of reusable, reproducible and open tools for training, evaluation and inference of foundational models in the context of observation (mainly based on transformer architectures)


  • Completed university studies (Master/PhD) in natural sciences, mathematics, earth and environment related fields or computer science (any other related field with a strong reference to the topic is also possible)
  • Relevant professional experience in the specified area
  • Proven ML/DL expertise and project contributions (publication in peer reviewed journals, contributions to open source projects or conferences is considered a bonus)
  • Good understanding of mathematical and algorithmic concepts such as transformer based based classification and regression (segmentation or domain adaptation)
  • Basic understanding of reproducible science and the principles for Open Science
  • Programming experience in Python
  • Experience with ML/DL APIs, libraries and frameworks such as pytorch, scikit-learn (experiences with transformers, diffusers are considered a bonus)
  • Self-motivation, Teamwork skills, tolerant and open character
  • Fluent in written and spoken English

What we offer:

  • Scientific professionalism, networking and scientific excellence
  • Attractive working and research conditions in a highly motivated team
  • Interesting and varied tasks
  • Support of New Work onsite: Flexible working hours and the possibility of home office
  • Mutual teaching and time for further education
  • Salary and social benefits based on TVöD-Bund, including 30 days of paid holiday leave, company pension scheme (VBL)
  • Occupational health management
  • An employer subsidy for the "Deutschland-Ticket Jobticket"

How to apply:

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: