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Field
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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localization and navigation. Experience in one or more of the following: path planning, motion planning, trajectory optimization or model predictive control; reinforcement learning, imitation learning
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operations in dynamic and uncertain environments. Depending on the candidate’s expertise, the work may involve wireless communications, multi-robot coordination, trajectory planning, artificial intelligence
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 16 days ago
Cooperative trajectory planning and coordination of UAVs, USVs, and AUVs/ROVs Optimal control and Model Predictive Control (MPC) for autonomous and multi-robot systems Convex and non-convex optimisation methods
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identification to characterize neural dynamics, closed-loop network behavior, and state transitions during sleep and seizure events. Real-Time Control & Optimization: Design, implement, and refine real-time
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and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
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candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
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and builds systems that support decision-making across a variety of domains, including disinformation mitigation, collaborative decision-making, interactive data exploration, and optimization problems
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, reactivity, and regulatory compliance for a TRL 7 demonstration in quasi-operational conditions, such as urban delivery or automated inspection - Algorithmic Foundations: Design optimization-based trajectory
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trajectory in case of a favorable evaluation. For more information please contact Prof. dr. Liesbet De Baets, mail: [email protected] . Where to apply Website https://www.kuleuven.be/personeel