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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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BRC PhD: Improving recovery from pneumonia after hospitalisation Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre
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UK Atomic Energy Authority and University of Nottingham sponsored PhD scholarship – Extra-long compliant snake robot capable of self-localization for inspection in fusion power plants Rolls-Royce
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS
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management in buildings is desirable but not essential. A PhD in a relevant field is desirable but not essential. The successful candidate will be able to work independently and help manage the project and the
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Sperm elasticity as an index of sub-fertility and as an environmental target. A PhD opportunity is being offered between The Optics and Photonics Research Group at the Faculty of Engineering and the
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics