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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
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, hydrodynamic, energetic, and control models of the platform. This digital twin will be used for performance prediction, system optimization, control development, and mission and trajectory planning while
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; autonomous decision-making; robot localization and navigation. Experience in one or more of the following: path planning, motion planning, trajectory optimization or model predictive control; reinforcement
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successful candidates will develop fundamental theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization
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theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization, Position 2 on adaptive policies, and both will
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maneuvering, ensuring both precision and reliability in collision avoidance. 3 METHODOLOGY Low-thrust trajectory optimization relies on continuous, long-duration thrusting, typically implemented using
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | about 1 month ago
optimization-based mission planning, task allocation, trajectory coordination, and control algorithms for heterogeneous multi-robot systems Integrate developed methods with robotic platforms and contribute to
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data assimilation, optimization, Bayesian inference, inverse modeling, or related quantitative methods. Experience with atmospheric transport, dispersion, trajectory, or source-receptor modeling
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 19 days ago
complex systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern
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quality and safety associated with reducing the intensity of CIP processes making optimization challenging. Monitoring tools and advanced data analytics at industrial scale provide an opportunity that