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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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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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Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit a student with an aerospace or mechanical engineering background. Experience
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are to: Build on the strong synergy between manufacturing, materials, design and management supporting the transition from product service systems (PSS) to through life engineering services as a contributor to
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to the challenges of free-market systems. Cranfield University provides the ideal environment for this research endeavor, offering a wealth of resources and expertise in engineering and digital technologies
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motivating alignment towards sustainability goals. Cranfield University provides the ideal environment for this research endeavour, offering a wealth of resources and expertise in engineering and digital
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postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as
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months in the first instance, whilst a renewal of the contract is possible. About You You should have a PhD (or nearly obtained) in the area of Mechanical Engineering, or related disciplines. You are
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contract is possible. About You You should have a PhD (or nearly obtained) in the area of Mechanical Engineering, or related disciplines. You are expected to demonstrate knowledge and track record in some of
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, motivated people to join the MK:U education team, working on our fast-growing Degree Apprenticeship courses in data and digital, particularly our hugely successful Digital and Technology Solutions course