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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 10 days ago
of Adrien Taylor and Scott Pesme. The successful candidate will implement and compare different parallel and stochastic numerical optimization paradigms accurately study the selected algorithms, participate
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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design. • Expertise in numerical modelling, simulation, and process optimization. • Proficiency in MATLAB and/or Aspen Plus; experience with process simulation and model integration is highly desirable
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studies. We expect a strong scientific background and proven track record in accelerator physics, physics-based simulations, numerical optimization and computational design. Experience with modular and
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materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the mechanics
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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accelerator-optimized methods — for large-scale numerical, scientific, and/or AI models. Demonstrating the scalability of new algorithms on leadership supercomputers for large-scale problems of national and
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within