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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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, natural sciences, computational engineering, or a similar field You have prior knowledge in the field of fluid mechanics and numerical simulation Ideally, you have already gained some experience with Ansys
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of Excellence "BlueMat: Water-Driven Materials" (www.tuhh.de/bluemat) and collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help
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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National
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of the results to validate simulation models Work at the interdisciplinary interface of numerical methods, fluid mechanics, and experimentation What you contribute A master’s degree in computational mechanics
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in Python and deep learning frameworks (PyTorch or TensorFlow), or a strong willingness to learn. Interest in geometric deep learning and the physics of fluid dynamics, or a strong willingness to learn
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and actively cool LPA targets, with a focus on long-term stable operation In this context, perform complex multi-physics simulations, including heat transport, computational fluid dynamics and molecular
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented