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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
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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them as programmable resources for encoding, transporting and processing quantum informa- tion. AI is employed not merely as a numerical optimizer, but as a framework for discovering control protocols
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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components requires precise operational constraints. This necessitates the development of optimized scenarios, capable of managing heat flow from the thermonuclear core to the divertor. Reliable numerical
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]. By combining simulations and experiments, comprehensive analysis of the process will be achieved and guidelines for optimization will be proposed. The analysis could then be extended to broader range
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
. Preferred qualifications include experience with: Optimal Control and/or Model Predictive Control (MPC). Modeling of deformable parts. Real-time numerical optimization. LanguagesFRENCHLevelBasic
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document developments. Technology watch : stay alert to scientific and technical developments in order to optimize the prototype. Scientific background / project summary Resulting from a collaboration
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to predict defects and recommend optimized manufacturing conditions. The position offers an interdisciplinary research environment at the interface of materials science, manufacturing engineering, numerical