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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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About this role: This Knowledge Transfer Partnership, between Aston University and Genie UK Limited, offers an opportunity to oversee the development of an advanced AI-driven predictive and
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and applying optimisation methods, such as model predictive control, multi-objective optimisation and, where appropriate, reinforcement learning Investigating suitable model-reduction and approximation
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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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models for adaptive soft robots, real-time stiffness-aware control, resilient autonomy for self-healing robotic platforms, and uncertainty-aware predictive human–robot interaction. The work will be
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Marie Skłodowska-Curie Actions (MSCA) Doctoral Network MicroMan4Health – Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector ( https://www.microman4health.eu/ ). The
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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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proteins. Considerable efforts have been devoted to developing computational models that predict TCR interactions. Despite these advances, predictive performance remains limited, and accurately
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spatiotemporal distributions of thermal variables, suffer from limited predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals