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” targets. This PhD will examine the fluid-particle interactions, and mechanisms of reaction, immobilisation, and retention of oil/organic wastes in geopolymer cements. Specifically, it will use a novel in
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models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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, curious individual to join an exciting PhD. This opportunity is generously funded by John Crane Ltd, a world-renowned engineering technology leader. Why This PhD? Impact Clean Energy's Future: Develop next
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degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
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PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
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, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Prof Hassan Ghadbeigi, Dr Matthew Brown, Dr Kyle Marshall Application Deadline: 07 November 2025 Details
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apply. Criteria Essential or desirable Stage(s) assessed at A PhD degree (or close to completion) in a scientific or engineering discipline (preferably Computer Science). Outstanding candidates who do not
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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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Investigating how keratin networks modulate response to mechanical stress in healthy tissue and cancer School of Biosciences PhD Research Project Self Funded Dr Helen Matthews, Dr Ruby Peters