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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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. Interviews are scheduled for 10th December.
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central to everything we do. Hours are typically Monday-Friday, 9-5, with some flexibility around production schedules. About you You’ll bring professional experience of working within a sound department on
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, maintenance, and dismantling of sports equipment Provide poolside supervision, including water-based rescues Ensure all activities run safely, efficiently, and on schedule Uphold and promote high standards