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(neutral and doped quantum dots in micropillars, NV centers in waveguides, optical nonlinearities, etc.). Approaches may be analytical, based on the collision model, or numerical. The postdoctoral researcher
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pipelines, and rigorously quantify reductions in energy per solve compared with optimized CPU/GPU and FPGA baselines. The project targets three real THz-NDE use cases: (i) sparse deconvolution of THz impulse
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materials physics to mechanical engineering, including fluid mechanics, thermal sciences and combustion. At the CNRS, on the Futuroscope site, the Pprime Institute is recruiting a PhD student as part of
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, the parameter adjustments are usually performed in a brute-force manner, without considerations of nonlinear coupling between multiple parameters. As a result, the models (that reproduce the data that they were
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stimulating environment and to contribute to a deeper understanding of the foundations of optimization and their role in modern applications. The position is funded by WASP (Wallenberg AI, Autonomous Systems
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and a MW scale greenhouse hub operated by Division Q. This PhD position is well suited for candidates eager to work at the intersection of nonlinear systems, optimal control, and energy systems
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accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
), financed by national funds through FCT Workplan: The candidate(s) will have experience in mathematical modeling and programming for nonlinear Ordinary and Partial Differential Equations. He/she will study