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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with Siemens and the UK Met Office. This project is ideal
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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grant Specified use +3 - to cover the full PhD Humanitarianism & Conflict Response programme Tenable period 3 years full-time or 6 years part-time. Continuation of award Continuation of the award is
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' button, above. Please select Mechanical Engineering (PhD) on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form
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include an enhanced stipend, working closely with Unilever on industry-relevant challenges, building networks. Moreover, during the PhD the student will undertake several placements (for a total of a three
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must be in a position to register by October 2025 Description:This Industrial PhD studentship has been developed between Salford University and APOS. Gait rehabilitation is emerging as a promising
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Supervisor details: Lead Supervisor Andrew Bladona, j.bladon@reading.ac.uk , School of Biological Sciences Co-supervisors Chris Foster, School of Biological Sciences Project Description: Climate change is a major threat to biodiversity, and there is an urgent need to design conservation actions...
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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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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project