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. This project is cross-disciplinary and focuses on Design optimization of hydrogen fuel cell-powered aircraft, working across two different departments within Imperial, the Dyson School of Design Engineering and
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when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer
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related research programs. The project is part of a larger collaboration involving colleagues at Imperial College London and you will have the opportunity to collaborate with key Industrial partners as
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consortium of Arizona State University, University of Adelaide, University of Toronto, and within the UK, Universities Cranfield, Birmingham, Cambridge, Imperial College London, and Newcastle. The HyPT will
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to present their findings at major international conferences and submit publications to refereed journals. Applicants should have a strong background in aerospace engineering or physics. The applicants should
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dynamics and the development of experimental methodologies. The project includes close collaboration with Imperial College London and ETH Zurich, Switzerland, and the possibility of visiting
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
supervision/support from Imperial College London for high-fidelity modelling of human head and advanced head injury criteria. The applicant: Applications are welcome from graduates with a biomechanics
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research, codesign methods, and human-centered design principles. Location: Imperial College London, Dyson School of Design Engineering, South Kensington campus, London, UK. --- Funding details This PhD is
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, including academics from the University of Southampton and experts from University of Oxford, Imperial College London, Fudan University, etc. Techniques to be used. Image analysis Aim: create 3D anatomical
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-Universitaet Heidelberg (DE), and Imperial College London (UK). Your qualities you have an MSc degree (or equivalent) in biophysics, soft matter, nanotechnology, physical chemistry, or a related field; you have