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experimental data, develops theoretical models and numerical simulations, and produces scientific publications. It develops and implements instrumental technologies as well as methods for signal
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library for computing the elementary matrices associated with near, singular and quasi-singular interactions using advanced integration methods from the literature [2–6], or variants to be defined as
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experimental campaigns and validating numerical models against experimental data; · Analysing results and identifying opportunities for performance optimisation; · Publishing research results in international
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, scientific programming, numerical simulation and algorithmic validations, this internship will contribute to a better understanding of the relationship between propagation and environment geometry in
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computing circuit architecture Contract duration (months) 5 to 6 months Job description Context: As part of our ASIC design activities, we are developing an embedded computing platform based on a
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and sufficient. Assigning meaning to prototypes is however a time-consuming task, as the various models tend to learn prototypes that do not carry sufficiently high-level meaning. A parallel line of
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installations (laser fs or ns, XFEL, synchrotrons, high pulse power), and developing numerical simulations and analysis tools. In order to develop new models into ESTHER, the candidate will be interacting with
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using Physics-Informed Deep Learning methods (that can explicitly incorporate wave equations). These algorithms can be trained either without a database by minimizing a loss function related to the
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for the numerical caluclation of hydrodynamic shocks, Journal of Applied Physics (1950) 232-237 [2] : D. J. Benson, Computational methods in Lagrangian and Eulerian hydrocodes, Computer methods in
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2 Compétences scientifiques : COMSOL, numerical analysis, FEM, data science, applied mathematics Connaissances : Optimal Experimental Design, Electrochemistry, Fluid dynamics, CFD Moyens/Méthodes