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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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support from leading experts in Advanced Sensor Technology Research Group and Environmental Assessment Facilities at Cranfield University. This fully funded studentship is part of the Connected Waters
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Collaboration: Each PhD student within the Hub is partnered with an industry collaborator, providing placement opportunities to work and train alongside industry experts · Comprehensive Training: The Hub offers a
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, Sustainability Studies, Business (with a focus on environmental risks), Water or Civil Engineering, or other related social science degrees. It is essential that candidates have experience of, or a good
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This exciting fully funded PhD, with an enhanced stipend of £25,726 pa, is sponsored by Anglian Water, Thames Water, Yorkshire Water, Northumbrian Water and EPSRC. The research will address
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science, mechanical engineering (or related field), manufacturing, chemistry or physics background. The candidate should be self-motivated, have good communication skills for regular interaction with other
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discipline. This project would suit someone with: Strong background in wireless communication particularly 5G/6G/Satcom, terrestrial and non-terrestrial networks. Good Knowledge in aerospace system design, AI