5 computational-fluid-dynamics Postdoctoral positions at Technical University of Munich
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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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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methods and their implementation, High-Performance Computing experience, methods of Uncertainty Quantification Offer – What you can look forward to: A dynamic, international team from various disciplines
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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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investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to