26 embedded-system-"https:"-"https:"-"https:"-"https:"-"University-of-Greater-Manchester" PhD positions at University of Warwick
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Research area and project description: AI data centres are digital engines, yet ~30% of energy is wasted as heat in power conversion and distribution. Directly addressing the UK’s Clean Power 2030
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validation methods employed for battery systems created for electric vehicles, aerospace or stationary storage. This PhD will aim to deliver a new validated methodology for scientifically assessing lithium-ion
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Sponsor/ Supporting Company: Johnson Matthey Research Group: Advanced Steel Processing Group Eligibility This project is funded via the UKRI IDLA sponsored by Johnson Matthey with the University
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manufacturing, yet their performance is fundamentally limited by our inability to precisely control particle alignment and microstructure during fabrication. Existing methods—such as magnetic or electric field
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improving the accuracy and reliability of lifetime predictions for demanding applications. The project is sponsored by the Dutch Polymer Institute (DPI), a leading international research platform that brings
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designed specifically for the spatial and sequential structures inherent in XCT projections and reconstructed volumes. The goal is to achieve a 60-80% reduction in data size without compromising
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per year Eligibility: UK Citizen Start Date: 02/10/2026 (3-year funding period) Research Group – CiMAT Project Overview X-ray Computed Tomography (XCT) is a critical non-destructive imaging tool used in
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Robotic-assisted surgery is rapidly expanding in the UK, with over 100,000 procedures performed in 2024 alone. Emerging 5G and future 6G networks are making remote surgery increasingly feasible
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robotics, AI, and next-generation networks to make remote surgery safer. Robotic-assisted surgery is becoming increasingly common in modern healthcare, enabling greater precision, smaller incisions, and
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operation. This is an exciting PhD project with industrial collaborators at the intersection of power systems, artificial intelligence, and mathematical modelling. The project is well-suited to students with