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Technology at the University of Nottingham. This project is in relation to the technical needs of Rolls-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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adducts display subsequent reactivity that can be activated on-demand to introduce smart and responsive behaviour, including (bio)degradation and closed-loop recyclability. Your PhD project will fit to one
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problems across a variety of research areas. Our research themes span exciting topics such as nanoscale devices, innovative catalysts, superalloys, smart fluids, space plasmas, and more. HetSys provides: A
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catalysts, superalloys, smart fluids, space plasmas, and more. HetSys provides: A vibrant, interdisciplinary student community. Flexible, tailored training opportunities. A collaborative environment that
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research areas. Our research themes span exciting topics such as nanoscale devices, innovative catalysts, superalloys, smart fluids, space plasmas, and more. HetSys provides: A vibrant, interdisciplinary
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, smart fluids, space plasmas, and more. HetSys provides: A vibrant, interdisciplinary student community. Flexible, tailored training opportunities. A collaborative environment that fosters creativity and
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, innovative catalysts, superalloys, smart fluids, space plasmas, and more. HetSys offers a vibrant and supportive research environment, ideal for nurturing creativity and academic growth. Our interdisciplinary
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machine learning are encouraged to apply. If you wish to discuss any details of the project informally, please contact Prof Suan Hui Pu, Smart Manufacturing and Systems Research Group, Email: suanhui.pu