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. Enable agents to simulate and adapt to human responses in real-time collaborative scenarios, enhancing performance in environments like smart transport systems, dynamic crowd management and other IoT
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systems are built upon fixed ground infrastructure, such as terrestrial base stations. This stationary deployment lacks the necessary flexibility to adapt to dynamic environments. In scenarios where ground
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computational project where you will use a variety of methodologies to produce hierarchal 3D lattice structures, e.g. first principles calculations (density functional perturbation theory), molecular dynamics
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interests, whether you prefer system-level analysis, control design, simulation-based investigation, or a combination of these. The specific research direction will be developed in collaboration with
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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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uncertainties make planning and decision-making more complex and difficult to optimise using conventional approaches. This project aims to develop advanced modelling and simulation frameworks to support decision
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The experience of pain is dynamic beyond nociceptive signalling, affected by emotional, motivational and cognitive factors. This PhD project aims to investigate the underlying neurobiological
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build-up towards earthquake rupture? You'll apply cutting-edge dynamic systems methods to seismological timeseries to find out. Soil ecosystems. Soils are complex, living systems that shift between states
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aims to develop computational models to support the optimisation of plasma atomic layer deposition equipment. The PhD student will undertake numerical simulation, optimisation studies, and explore
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regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven