57 application-forms-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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autonomous systems with applications spanning aerospace, nuclear engineering, and embodied intelligence. Vision We are seeking a PhD student who is highly motivated to work at the interface of reinforcement
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of Engineering which conducts cutting edge research spanning exploration to translation, with curiosity driven projects all the way through to application in the clinic. Vision We are seeking PhD student that is
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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social engagement. Studying its link to cognitive function and dementia risk provides a unique opportunity to understand how large-scale social policies shape healthy ageing and to generate evidence to
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rigorous approach to problem-solving. Applicants should have, or be expected to gain, a high 2:1 (preferably 1st class) honours degree in Mechanical or Aerospace Engineering, or a related discipline with
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behaviour. The successful applicant will be based at the University of Nottingham and spend time annually at UKAEA Fusion Technology Facility in Yorkshire, working with the Thermal Hydraulics Group to support
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help shape future low‑energy, low‑solvent biomass processing methods. Who we are looking for We are looking for a curious, innovative, and self-motivated researcher with strong analytical skills and the
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group (AMRG ) at the Faculty of Engineering (FoE), University of Nottingham. This fully funded 3-year studentship is available only to UK nationals. The successful applicant will receive a generous tax
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lab is challenging the traditional view of soil-structure interaction (SSI). This project will investigate the critical role of changing particle shape on material wear and elevated stress transfer