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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
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