49 postdoctoral-image-processing-in-computer-science PhD positions at University of Nottingham
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
. AI is expected to be at the centre of these systems, being the foundation of computer vision, monitoring, and control solutions. Despite the promising results that AI (and especially Deep Learning) has
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for understanding natural magmatic processes on earth & other planetary bodies. Neutron diffraction is a powerful technique for studying the atomic scale structure of these materials, but the current technology to
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the Faculty of Engineering at the University of Nottingham, subject to funding approval. Driven by the need to reach net-zero greenhouse gas emissions in the UK by 2050 and rising energy costs, the UK building
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training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
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commercial biofuel). Based in the School of Chemistry at the University of Nottingham, this project will provide extensive training in enzymatic polysaccharide degradation and a variety of analytical
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academic background in one or more of the following areas: Electrical and Electronic Engineering, Aerospace Engineering, Computer Science (with a focus on AI/ML or systems modelling) with good electrical
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About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham to work under the supervision of Dr David Duncan. The project
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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