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aerospace materials, hydrogen technologies, and sustainable aviation. Your research will directly support the UK's ambition to lead global decarbonisation efforts, shaping your future as a skilled innovator
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systems can be self-powered. By optimising energy efficiency, waste from disposable batteries and the need for cabling can be reduced, which supports the global Net Zero goals in decarbonisation with
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-related technology. The EnerHy CDT aims to address the challenging aspects of rapid growth in hydrogen production and usage such as cost, supply and waste chain development, scalability, new technologies
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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The Department of Sociology, Social Policy and Criminology at the University of Liverpool in collaboration with ForcesWatch invites applications for this fully-funded ESRC CASE PhD Studentship from the North West Social Science Doctoral Training Partnership (NWSSDTP). This will commence...
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We’re here to create and harness knowledge, to deliver opportunity for everyone. About the Opportunity This is an excellent opportunity for a talented and motivated applicant to undertake an original programme of research working with ecologists Dr Ashley Lyons and Dr Anne Oxbrough in...
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
based within the Manufacturing, Materials and Design theme at the Centre for Digital and Design Engineering (CDDE), which offers access to advanced simulation, visualisation, and high-performance
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, increasing costs and resource waste. This Ph.D. project aims to address these challenges by advancing fault diagnosis and prognosis (FDP) for complex mechatronic systems. Building on Supervisor Team's
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photorealistic game worlds. To achieve this goal, we need advances in many areas, from light transport, sampling, geometry and material representations, and computationally efficient algorithms to display
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disassembly environment for recovery of critical raw materials, key to securing a circular supply chain to support a UK battery industry. As a PhD student, you will work with both academics from the AMT Group