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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks
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consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case
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, populations, and types of amenities remains largely unexamined. Why 15, rather than 10, 20, or 30 minutes? The assumption that the health and wellbeing benefits of this model will be evenly distributed is
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
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challenges. Supervisor information: https://experts.exeter.ac.uk/41651-tarje-nissenmeyer https://experts.exeter.ac.uk/41625-george-datseris Ready to bridge mathematical sciences with complex ecosystems and
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& Find Out More : To apply for this fully funded PhD Studentship or for more information, follow this link: https://www.exeter.ac.uk/study/funding/award/?id=5840 Application Deadline: 19 APRIL 2026 @ 23.59