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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop numerical procedures in
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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization
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this question using a numerical approach: [Karashabyeva 2025] proposes a topological optimization for a steady-state heat transfer case, while [Alpar 2024, Alpar 2025] addresses shape optimization in both steady
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Louis Lions. - Design and implement innovative methods for the numerical solution of wave propagation problems within the FreeFEM software, using high-performance computing - Optimize the code
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization