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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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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 numerical optimization paradigms, that include
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Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex
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. For these two reasons, it is essential to monitor the injection process parameters in real time in order to adapt to the rheological behavior of recycled polymers, with the aim of ensuring optimal and repeatable
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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three scientific research departments, themselves organized into teams. The PhD will take place more specifically within the MAORE team, whose members use tools from combinatorial optimization, graph
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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action to be taken in the operating room by triggering an alert in the event of a risky situation. The question arises of using AI to optimize the simulator’s ability to anticipate events. All of this must
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions