o Scientific computing: Numerical algorithms (FEM/FD/FVM/BEM), eigen/linear/PDE solvers, convex optimization, computational geometry, computer graphics, advanced statistical methods (Monte Carlo sampling), etc. MUST: PhD( or MS +2+ years of research/industry experience) in Computer Science, Applied Mathematics, or Engineering (Electrical, Mechanical, Civil, etc.), with expertise in: SW/Programming skills: Proficiency in C/C++, CUDA, Python, Code Copilot.