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Field
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in Control Engineering, contributing to the project “Input‑restricted robust feedback control theory for nonlinear dynamical systems”. The role sits within a dynamic, inclusive and internationally
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via nonlinear parametrizations such as deep networks, dynamical systems and control, Bayesian inference and generative modeling, and randomized linear algebra. Applications of interest are transport
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◦ Controlled simulations (nonlinear SDEs, active models, dynamics with memory). ◦ Study of the robustness of the methods (noise, low sampling frequency, partial observability). 6. Application to real systems
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systems to operate safely and efficiently. Possible research directions include advanced flight control, model predictive control, nonlinear control, fault-tolerant control, cooperative control and aerial
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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and quantum cybersecurity applications? Can we scale up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials
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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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at the interface of nonlinear mechanics, statistical mechanics, and disordered materials. Central themes may include mechanical instabilities, localization, fracture and damage, collective response in heterogeneous
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
robotics and to develop a comprehensive methodology for the design, modeling, control, and experimental validation of frugal multi stable robots, from the elementary module to the assembled robot. The work
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for stochastic, distributionally robust, and mixed-integer nonlinear optimization problems. The successful candidate will conduct research at the intersection of stochastic programming, optimization under decision