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-agent systems. Methodology: Integrate ToM models with Reinforcement Learning based frameworks for single-agent and multi-agent decision-making. Develop simulation environments capturing realistic human
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, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley
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framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
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. Applicants should have an interest in manufacturing systems, operations research, and simulation modelling. Candidates with prior experience in areas such as discrete-event simulation, agent-based modelling