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. Please note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Start date – 1 October 2026 Application Process Informal enquiries may be addressed to: Dr
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will only cover home/UK tuition fees. The candidate must have at least an equivalent of a UK 2.1 class degree in materials/mechanical/chemical/physics/chemistry, or any related discipline. This is an
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Experience in sustainable architecture or building physics A strong interest in retrofit research Confidence in using quantitative methods, including environmental monitoring and performance evaluation
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and conduct laboratory experiments to assess graphite smoulderability, develop physics-based models to predict scalability, and perform techno‑economic analyses and life‑cycle assessments using machine
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/chemical/physics/chemistry, or any related discipline. This is an experimental research project, and the candidate is expected to spend the majority of the time at the University of Nottingham. Funding
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into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI