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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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in 2017 bringing together long-established engineering research and teaching groups in chemical, civil, electrical & electronic, geomatics, marine and mechanical. In REF 2021, 46% of the research
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Cranfield University and Magdrive, offer a fully funded PhD position under the umbrella of the R2T2 consortium to study the optimisation of their thruster for a kick stage. R2T2 is a UKSA-funded
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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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of international PhD fees payable (in 2025, £22,000 a year) An annual stipend (£19,237 per annum for 2024/25; TBC for 2025/26) Specified use This funding is available to an international student undertaking study in
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Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications