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forefront of research focusing on future and sustainable aerospace systems. You will also develop multidisciplinary research and technology skills. Join a world class team. Develop management, presentation
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for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally
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of more sustainable and safer aerostructure in next generation aircraft. It will impact research strategies and technology for maintenance regime and service operations in the future. The researcher gain
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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facilities and interact with experts in Human Factors Integration (HFI), systems engineering, and system modelling. The research will culminate in developing software tools and engaging with a robotic testbed
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world-leading or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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University of Oxford. At a glance Application deadline12 Jun 2024 Award type(s)PhD Start date30 Sep 2024 Duration of award4 years EligibilityUK, Rest of world Reference numberSATM491 Entry requirements
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EligibilityUK, EU, Rest of world Reference numberSATM490 Entry requirements Applicants should have a first or second class UK honours degree or equivalent in engineering or management or related discipline and