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equations: analytical and computational methods for differential equations and mathematical modeling. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high
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the computational cost of conventional numerical weather prediction systems, opening new possibilities for large forecast ensembles and event-based climate attribution. The PhD researcher will evaluate
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must have sufficient knowledge of scientific programming languages and tools (Fortran, parallelization, I/O, numerical methods, etc). Knowledge of usage of modern heterogeneous architectures (including
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-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with experimental and industrial partners. The position is funded by
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, publication of scientific articles, participation in projects, etc. Demonstrable knowledge of parallel and distributed programming Languages: English at C1 level or above Other: The following will be
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electromagnetic and optical simulations using numerical methods such as FDTD, FEM, eigenmode expansion, and mode solving. Optimize photonic-device performance considering insertion loss, coupling efficiency
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APPLIED MATHEMATICS The Department of Applied Mathematics comprises academic staff with active research in analysis of differential equations, numerical analysis and scientific computing, control theory
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limited to statistics and probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields. Candidates with an
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/Project : The TCN group is launching an activity on marrying Artificial Intelligence with its activities and numerical tools to access charge transport information in complex (disordered) van der
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running and post-processing CFD solvers is convenient, as well as a knowledge of turbomachinery problems. Analysis and development of numerical methods Languages ENGLISH Level Excellent Research Field