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The Numerics Research Group at the Institute of Aerodynamics and Gas Dynamics at Universität Stuttgart is seeking a highly motivated research associate to contribute to an exciting research project. The project aims to explore the potential of reinforcement learning strategies for active flow control and modeling in complex turbulent flows.
The successful candidate will be responsible for:
- Simulating complex turbulent flows using advanced numerical methods
- Implementing reinforcement learning strategies for flow control and modeling
- Developing discretization-consistent control and model strategies
The Institute of Aerodynamics and Gas Dynamics encourages publication of results in scientific journals and supports participation in international conferences. The position is a full-time scientific employee with payment in accordance with TV-L E13. The initial employment period is three years, with the possibility of extension.
The Institute is committed to increasing the number of female scientists and supports severely disabled persons who are equally qualified.
Requirements:
- Master's degree or equivalent in engineering or related fields, preferably with a background in numerical methods for PDEs, machine learning, or turbulent flows
- Fluency in either German or English (written and oral)
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