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of complex behaviours such as void formation and brittleness. In parallel, you will explore formulation and processing strategies to improve toughness, reduce embodied energy and eliminate the need for cold
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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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Area Engineering Location UK Other Closing Date Thursday 30 April 2026 Supervisors: Dr Yaoyao Zheng , Prof. Hao Liu , Dr Omid Saghafifar (Remedium ) Programme Length: Four years Contract Type: Full
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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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Supervisors: Dr Yaoyao Zheng , Prof. Hao Liu , Dr Omid Saghafifar (Remedium ) Programme Length: Four years Prospective Start Date: October 2026 Net2 Zero Centre for Doctoral Training The EPSRC and
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Supervisors: Dr Ming Li , Prof. Hao Liu Programme Length: Four years Prospective Start Date: October 2026 Net2 Zero Centre for Doctoral Training The EPSRC and BBSRC Centre for Doctoral Training in
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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary
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. (Home applicants only). In this Ph.D. project, you will advance this research field by investigating how to develop, design, and evaluate domain specific multi-agentic AI models and systems that can plan
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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary
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Engineering laboratory practical skills 1st or a 2:1 class undergraduate degree in materials/mechanical/manufacturing/physics or any related discipline. Desirables Basic programming skills Basic machine