39 phd-in-architecture-interior-design-built-environment PhD positions at University of Nottingham
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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EPSRC Centre for Doctoral Training (CDT) PhD in Digital Metal with Rolls-Royce (Enhanced Stipend) Development of Advanced Barrier Coatings for extreme environments Background Applicants are invited
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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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to co-design these avatars and training experiences. The goal is to create digital tools that help new or incoming carers feel better prepared for the specific behaviours, communication styles, and
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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filled. Do you want to be at the heart of the clean energy revolution? This PhD project gives you the chance to design and build the novel materials that could make hydrogen-powered aircraft, electric cars
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments