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to interpreting physical symptoms. When an infection is circulating, how do people decide what their own cough, aching muscles or a sense of fatigue mean and what actions, if any, they need to take? Are
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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and deliver evaluation and learning approaches that help places make sense of how and why things work. This PhD aims to develop and apply qualitative methodologies that can be more effectively included
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ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
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inclusion and encourages applications from all sections of society. The Faculty of Engineering (FoE) provides a thriving working environment for all Postgraduate Researchers (PGRs) creating a strong sense of
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disruptive aircraft configurations involves combining advanced engineering practices, including computing power, sensing, AI/ML, and system-level engineering. Comprehensive verification and validation
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is primary adhesion of bacteria to solid surfaces mediated? How do bacteria sense surface attachment and switch from a planktonic to a sessile (attached) physiology? How do sessile bacteria coordinate
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. This involves 'handcrafted' expert systems, which are good at reasoning about narrowly defined problems, but poor at handling uncertainty and have no ability to learn or abstract/generalise. In that sense