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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
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in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD meshing software. TU Delft (Delft University
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recommended. Other valuable skills include: Experience in high-performance computing using MPI. Experience in GPU programming using OpenACC, CUDA, CUDA-Fortran, Julia, or related tools. Experience in CFD
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background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
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computing paradigms (e.g., MPI, CUDA, etc.); designing and managing new electromagnetic solvers and associated codebases in C++ and/or Python. This is a particularly good opportunity for students who
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-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal