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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 27 days ago
to the governing equations obtained in the previous phase. This derivation is essential for computing the gradient of the misfit functional efficiently, enabling large-scale optimization. Following
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: https://gdusson.perso.math.cnrs.fr/offre_postdoc.pdf The main objective of this postdoctoral position is to work on nonlinear model-order reduction, with a particular focus on the development and
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ecosystem. Key Responsibilities Develop and optimize lithographic patterning of nano- and meso-scale structures, such as gratings, waveguides, cavities, and metamaterials for quantum and THz devices Integrate
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Job Description If you are an experimental physicist or optical engineer with a passion for nonlinear optics, quantum optics, and advanced fiber technologies, this is your chance to work at the
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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
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, and will also deepen the understanding of nonlinear optical effects in ferroelectric nematogens. Job Description and Responsibilities: Synthesis of organic materials, process optimization, purification
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds