The Max Planck Institute for Solar System Research (MPS) in Göttingen is one of the world's leading research institutions in the field of solar physics and planetary research, with around 300 employees. The interdisciplinary research focus is the investigation of the development, diversity and dynamics of planets, moons, small bodies, the sun and solar-like stars. The MPS develops and operates scientific instruments for current and future space missions (e.g. ESA, NASA), and carries out cosmochemical laboratory investigations of meteorites as well as numerical modeling on state-of-the-art supercomputers.
Max Planck Institute invite applications for a Postdoctoral Position (m/f/d) in machine learning for PDEs and turbulence control.
Machine learning techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods for PDEs, with a particular emphasis on turbulence modeling and turbulence control.
Your tasks
- Developing machine learning methods for nonlinear PDEs arising in fluid dynamics and related systems.
- Implementing existing machine learning approaches for reduced-order modeling, closure modeling, and flow prediction.
- Proposing new machine learning methods for turbulence modeling and control.
- Training and testing models using data from direct numerical simulations and experiments.
- Investigating whether machine learning can identify efficient control strategies for turbulent flows.
- Studying the interpretability, generalization, and physical consistency of machine learning models for PDEs.
- Exploring how data-driven methods can accelerate simulations and improve prediction in complex turbulent systems.
Table of Content
Summary
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Benefits
- Comprehensive onboarding, professional development and further training opportunities
- Diverse and varied tasks in an international work environment
- Renumeration according to TVöDBund, based on qualifications and experience, annual bonus and additional pension scheme (VBL)
- 30 days of vacation plus 4 additional days off
- Full-time and part-time employment; flexible working time and possibility of mobile work
- Collaboration with local bilingual Montessori child care center
- Good connection by public transport
- Corporate health management
The full-time position is available from June 1, 2026, or as soon as possible thereafter.
The position is available for one year, with the possibility of a one- or additional-year extension.
Requirements
- PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field.
- Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python.
- Experience with turbulence, flow control, scientific computing, or data-driven modeling.
- Experience with GPU computing and supercomputers is desirable.
- Good English skills.
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
April 30, 2026How To Apply
- Max Planck Institute look forward to receiving your informative application documents (cover letter, CV, a publication list, a statement of research interests (max. 2 pages), and the names and contact details of two potential referees).
- Please submit these via the digital application portal.
If you have any questions, please do not hesitate to contact Xiaojue Zhu [email protected]. Further information about the group.
For more information, kindly visit Max Planck Institute webpage.
