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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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OpenStreetMap and validated against official datasets. A composite N will be computed as a weighted average across amenity types, with weights reflecting the relative necessity of each service (for example, a
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Fully-funded PhD Studentship – Next-Generation Integrated Opto-Electronic Devices for Switching, Computing, and Sensing We are offering a fully-funded PhD studentship in the field of photonics and
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PhD Studentship in Computational Modelling and Optimisation of Plasma Systems We invite applications for a fully funded PhD studentship focused on the computational modelling and optimisation
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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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in the natural and human world can shift suddenly and irreversibly. Understanding such critical transitions ranks among the most urgent challenges in modern ecosystem sciences and societal preparedness
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its interactions with different midbrain regions. The successful candidate will use a variety of systems neuroscience techniques in rodent models to interrogate neural circuits underlying affective
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-forming wind turbines into power systems raises a broad set of interconnected questions, ranging from how individual turbines interact with the wider network to how large-scale wind generation can