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solvers Preferred knowledge: Distributed preconditioners (BDDC, GDSW), CI/CD, collaborative software development. The group is situated in the new TUM Campus, in Heilbronn, which is quickly becoming one
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-tolerant, optimal and distributed control, robustness and uncertainties adaptive control and autonomy. Interdisciplinary and application driven research is very welcome. Teaching responsibilities include
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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, safe and socially just energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. We
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, safe and socially just energy supply system based on renewable energies. We contribute to this with our research priorities of energy supply, energy distribution, energy storage and energy use. We
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is the role of clouds in the climate system. For this, we apply and develop a wide range of numerical approaches that cover highly idealized heuristic models to very detailed Lagrangian representations
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these micropollutants, per- and polyfluoroalkyl substances (PFAS) are of particular concern. Like microplastics, PFAS are highly persistent, mobile, and widely distributed, even in remote areas. Both substance groups
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, and socially just energy supply system based on renewable energies. We contribute to this with our research focuses on energy generation, energy distribution, energy storage, and energy utilization
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication