33 high-performance-computing Postdoctoral positions at Technical University of Munich
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation using Python scripts. In
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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care, in an exciting, interdisciplinary field. Access to large-scale, high-quality pathology datasets and cutting-edge computing infrastructure. Collaboration with renowned scientists, pathologists, and
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focus on fluid or biomechanics, porous media. Optional/advantageous: Experience with Lattice-Boltzmann methods and their implementation, as well as high-performance computing experience. A solid command
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/ family enterprise. The postdoc position (m/f/x) is limited to 24 months but can be extended for another 24 months (extension is subject to a positive performance evaluation). About us… Founded in 2002, TUM
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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30.01.2025, Wissenschaftliches Personal The position is funded by a joint German-US collaborative project of Professor Benedikt Wiestler (TUM) and Professor Anke Meyer-Baese (FSU) at the TUM within