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Field
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qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and contribute to academic papers. Where required, public
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This collaborative project between Jaguar Land Rover (JLR
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When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
this, you will work with emerging AI techniques such as large language models, which can interpret technical documentation, and knowledge graphs, which help structure and connect engineering knowledge
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or in an academic role. We will help you develop into a dynamic, confident and highly competent researcher with wider transferable skills (communication, project management and leadership) with
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the evidence–base needed to understand the impact on health, to inform public policy, and to develop potential mitigation strategies. Traditionally, this information has come from ground monitoring networks
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need for materials that can endure extreme conditions while maintaining structural integrity. This Ph.D. project will explore the failure mechanisms in refractory metals and advanced ceramic coatings
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collaboration with Innospec, aims to investigate how different catalysts influence CNT growth, structure, and performance. Specifically, the study will compare different CNT catalysts, evaluating their impact on
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has focused enormously on visualising the nanoscale structure of trees after initiation, rather than investigating the underlying thermodynamic forces that drive their propagation. To address
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases