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Field
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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Offshore wind energy offers a promising solution for sustainable and renewable power generation, with the key advantage of not competing for land resources like onshore wind farms. However, the unprecedented
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prediction of oceanographic responses to offshore wind expansion. Eligibility requirements If you have received or expect to achieve before starting your PhD programme a First-class Honours degree, or a 2:1
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, with the key advantage of not competing for land resources like onshore wind farms. However, the unprecedented spatial squeeze resulting from its expansion presents complex economic, environmental, and
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mathematical modelling skills Strong skills in solid state physics and quantum mechanics Experience in theoretical modelling and experimental investigation of optical devices including optical microresonators We
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sensor arrays tethered to a ground robot by an aerodynamic balloon. The adaptable sensing altitude of the platform will allow spatially representative measures over complex natural environments. Being