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spectroscopic and structural properties of biomacromolecules. Likewise, it can also alter the activity and expression of proteins. However, there are many experimental challenges to be solved, including
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and therefore, the ability of a liquid fuel structure to resist deformation by the air stream. This is of particular relevance to gas turbine fuel injectors which are operated at high pressure and
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self-sufficient fuel cycle, fusion reactors must be equipped with a breeding blanket—a specialised structure that not only manages extreme heat and neutron flux but also breeds tritium from lithium
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their microstructure and local electronic properties with sub-molecular precision, the project aims to establish direct structure–function correlations and uncover the mechanisms that govern stability and charge
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
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The aim of this project is to analyse the effect of hydrogen and Low Carbon Intensity (LCI) fuels on degradation of surfaces exposed to such harsh environments and, subsequently, structural
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve