Facts
- Number of employees
- 1.500
- Category
- Postdoc
- Location
- Germany, Saxony, Görlitz
- Area of responsibility
- Academia and research, Research (academic), Chemistry, Physics
- Start date (earliest)
- 01.05.2026
- Duration
- 3 years
- Full/Part-time
- full-time
- Remuneration
- TVöD Bund
- Remote work
- Partially possible
- Working language and expected level
-
- English ( Fluent in speech and writing )
- Homepage
- https://www.hzdr.de
- Career website
- https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76987
Requirements
- Field of study
- Natural sciences and mathematics, Chemistry, Computer science, Physics
Apply
- Application deadline
- 16.03.2026
- Reference number
- 2026/32
- Application documents
- cover letter, CV, diplomas/transcripts, etc.
- Online
- https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76987
Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems.
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 Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research.
CASUS is looking for a
Tasks
- Identify existing machine learning approaches applicable for geochemical systems in a geological setting
- Implement, adapt, and apply machine learning approaches and mathematical surrogate models for modeling radionuclide migration in crystalline host rocks
- Perform uncertainty quantification of machine learning and surrogate models with respect to traceability, robustness and physicochemical correctness
- Cooperate with our project partners at HZDR, TU BA Freiberg and TU Darmstadt
- Present your scientific findings at academic venues and publish research in peer-reviewed journals
Requirements
- Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field
- Background in mathematical surrogate modeling and machine learning
- Experience or familiarity with large-scale computational simulations
- Prior exposure to collaborative software development and version control systems (Git)
- Motivation to work collaboratively in a team-oriented environment
- Proficiency in programming languages (Python, Julia, C/C++)
- Excellent communication skills in English
What we offer
- A vibrant research community in an open, diverse and international work environment
- Scientific excellence and extensive professional networking opportunities
- Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
- We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
- Numerous company health management offerings
- Employee discounts with well-known providers via the platform Corporate Benefits
- 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: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76987