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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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Overview The University of Nottingham invites applications for two fully funded PhD studentships within the fields of mental health and neurosciences, commencing 1st October 2026. These studentships form
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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candidate for a fully funded PhD studentship focused on the development of next‑generation bio‑based composite materials. This exciting project is delivered in partnership with SHD Composite Materials Ltd, a
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Start date: 1st October 2026 The University of Nottingham is seeking an outstanding and highly motivated candidate for a fully funded PhD studentship focused on the development of next‑generation
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 14 May 2026 Project type: Collaborative PhD studentship (joint Academic-Industry
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collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative analysis. The student’s work will provide
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, is needed. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings for electric vehicle traction and aerospace propulsion, featuring improved
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collaboration with partners with modelling expertise. This PhD offers the opportunity to work at the interface of plant physiology, root biology, imaging and quantitative analysis. The student’s work will provide
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-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of their PhD based on-site