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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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This PhD studentship, based at the University of Exeter's Penryn Campus (Cornwall), offers an opportunity to conduct research at the intersection of wind energy, power systems, and advanced control
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contribute to changes in behaviour, pain neuroscience or the neuroscience of emotional control to apply. Please contact Dr C Lawrenson (c.l.lawrenson2@exeter.ac.uk ) prior to submission to discuss the project
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of plasma deposition systems, in collaboration with Oxford Instruments. Low-temperature plasmas play a critical role in advanced manufacturing, yet their design and control remain challenging. This project
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to control risk while maximizing resource utilization and minimizing energy consumption. WP1: QoS Quantitative Analysis (Months 1-11): This WP focuses on developing original analytical models to investigate
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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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joint decision-making. Evaluate performance in scenarios such as shared resource management, traffic coordination, and distributed IoT control, benchmarking ToM-enabled agents against traditional multi
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decisions under uncertainty. Utilities must prioritise interventions such as pipe upgrades, storage expansion, real-time control, or maintenance under uncertain climate futures, constrained budgets, and
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, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
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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