52 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Nottingham
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PhD Studentship in the History of Architectural Representations This call is for a PhD student that is interested in exploring the history of architectural representations. Topics of any time
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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to undertake a PhD, specific motivation to undertake a PhD as part of the Somabotics programme in, and a personal PhD proposal that responds to the vision of the programme and the four example PhD topics below
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy
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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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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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EPSRC Centre for Doctoral Training (CDT) PhD in Digital Metal with BAE Systems (Enhanced Stipend) Solid-state Additive Manufacturing of Nickel Aluminium Bronze alloys Background UK Applicants
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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