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Development Through our research training programme, you will be able to: Network with doctoral researchers, academia, government, and industry Access to cutting-edge facilities and opportunities
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our research training programme, you will be able to: Develop a network with doctoral researchers, academia, government and industry. Access to cutting-edge facilities and opportunities
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training programme, you will be able to: Network with doctoral researchers, academia, government, and industry Access to cutting-edge facilities and opportunities for international collaboration A
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Area Engineering Location UK Other Closing Date Thursday 30 April 2026 Supervisors: Dr Ming Li , Prof. Hao Liu Programme Length: Four years Contract Type: Full-time Prospective Start Date: October
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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a
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established world class research groups. 85% of our research is classed as "world-leading" (4*) or "internationally excellent" (3*) and our research collaborations and networks extend nationally and
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cryogenic modelling, two-phase CFD, and AI-based reduced-order models to accelerate modelling capability in net‑zero aerospace technologies. Motivation Hydrogen research has accelerated to address the need