Postdoctoral Researcher in Machine Learning for PDEs and Turbulence Control | Postdoctoral Position (m/f/d) in machine learning for PDEs and turbulence control

Job Summary

This postdoctoral role at the Max Planck Institute for Solar System Research focuses on the intersection of fluid dynamics and artificial intelligence. The successful candidate will develop and implement machine learning methods for nonlinear partial differential equations (PDEs), specifically targeting turbulence modeling and flow control. Day-to-day responsibilities include training models using data from direct numerical simulations, investigating the physical consistency of data-driven models, and exploring strategies to accelerate complex simulations. This position is ideal for researchers looking to apply deep learning frameworks to high-performance computing environments. The role offers a highly collaborative international environment in Göttingen, featuring access to state-of-the-art supercomputers, flexible working hours, and a comprehensive benefits package under the TVöD-Bund public service agreement. It is a unique opportunity to contribute to cutting-edge scientific discovery in solar and planetary research through advanced computational modeling.