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Field
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undergraduate degree in an Allied Health, Engineering, Biomedical or Sport Science or Biomechanics related field. An optional MSc including human biomechanics would be desirable. Candidates with experience in
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innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered
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, Cranfield fosters innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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, Society and Engineering, our students study for, among other things, university and civil engineers, political scientists and economists. With us, the research focuses are industrial economics and
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interface designs that enable real-time, efficient processing in resource-constrained environments. Students will explore innovations in hardware-software integration, emphasizing energy efficiency
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PDF, video or website. It is also an advantage if the applicant has or can demonstrate an interest in working with digital software for visualizations, e.g. Unreal Engine or other lighting software
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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simulations to gain insight into these high-end composite materials.The research will be done in close collaboration with the Centre for Textile Science and Engineering and the involved industrial partners
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify