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Funding Source: EPSRC DLA Interdisciplinary Scholarships Stipend: UKRI rate stipend for 3.5 years full-time (70 months part-time). Full Payment of academic fees (home only) A Researcher Training
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collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of intelligent assurance methodologies in sectors like
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subject. This studentship will attract a stipend of £20,480 for four years. The position arises from an engineering research relationship developing between the University of Nottingham and ITP Aero UK. The
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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(BGI) is one solution to help mitigate surface water flooding, and can also provide a wider range of benefits related to biodiversity, health and water quality. Robust models are needed for comprehensive
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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at the internationally recognised IVHM Centre, the research is supported by collaborations with Boeing, Rolls-Royce, Thales, and UKRI, offering a unique environment for cutting-edge work in fault-tolerant hardware
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of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret
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similar Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor
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-assisted design) and state-of-the-art experimental techniques (neutron scattering, data analysis, sample fabrication). The successful candidate will engage in cutting-edge research at the interface of theory