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Field
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to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern heterogeneous
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Since 2006, the University of Luxembourg has invested in its own High-Performance Computing (HPC) facilities. Special focus was laid on developing large computing power combined with huge data
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MPI Understanding of plasma physics and computational plasma physics Experience with Particle-In-Cell (PIC) code development and kinetic models Experience in high-performance computing (HPC) and/or GPU
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
degree / PhD computer science or physics with high-performance computing - Experience in Fortran, C or C++ programming - Experience in high-performance computing and parallel programming, in particular GPU
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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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired. How to Apply: Candidates who have most, but not all
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Open Position: (Postdoctoral) Researcher (m/f/d) Model Building for SPM Images of Macro(bio)molecules Job Code: 03.25 Your project: Build and test a GPU‑accelerated program to detect and interpret