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- Forschungszentrum Jülich
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- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
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experience in HPC/ GPU environments and open source software development (demonstrated by, e.g., the dissertation, publications in peer-reviewed journals or open source projects) Excellent communication skills
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benchmark them with a realistic case study. The main focus of the project can develop either more in the mathematical theory of MCMC, the implementation of code for the Jülich supercomputers (GPU/CPU
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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight
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profiler . Experience with GPUs is a bonus. Of course, you need fluency in written and spoken English to communicate your ideas in this interdisciplinary project. Note that we expect from candidates either
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of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
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., based on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms