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Field
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
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, highlighting the need for standardized practices in this field. If robust and reproduceable, DIC would transform the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student
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Funding providers: The FSE Doctoral Focal Award, Swansea University and Leaf Tech Ltd The subject areas: Materials Science, Chemistry, Chemical Engineering, Electronics, Mechanics, Polymers, other
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capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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Supervisors: Dr Jun Jiang (Reader), Mechanical Engineering Department Deadline for application: 30/10/2025. Early submission is encouraged. Funding mechanisms: Fully funded by Imperial College, IDLA
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engineering with an emphasis on developing and refining processes which must be compatible with large scale manufacturing. The successful applicants will expect to split their time between the Swansea Bay
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: Candidates should hold a UK (or international equivalent) first or upper-second Bachelor’s degree. Candidates with backgrounds in electrical and electronic engineering, physics, computer science and
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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect