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Field
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relevant to the proposed PhD project, including chemistry, materials science, engineering or physics. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of
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, physical sciences, or a closely related discipline. We are particularly interested in candidates with: A degree in civil, mechanical, ocean, or offshore engineering, or a related discipline Interest in
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next generation of physics-based degradation models grounded in measured rather than assumed parameters. This project offers a rare combination of fundamental scientific depth and clear industrial
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partitions of unity that are unavailable in the analytic setting. We expect to apply these techniques to geometry, quantum mechanics, and other fields in mathematical physics. The project will be supervised by
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. Multidimensional Imaging Criteria: A strong background in physics, mathematics, engineering or related quantitative disciplines with an interest in developing next-generation transmission electron microscopy methods
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diseases of the eye. You will work at the intersection of mathematics, physics, AI, and clinical practice through careful design and production of optical metasurfaces, which can help to correct macular
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) and long-term properties (including creep and fatigue behaviour) will be analysed. Furthermore, the project will develop physics-assisted artificial intelligence (AI) models that integrate experimental
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. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences, or Physiology/Medical Sciences. This project will suit those with a keen interest in
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your application by midnight on the closing date. For technical queries please contact Professor Abir Al-Tabbaa ([email protected] ) and for the application process contact Sue Stocks ([email protected]
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a mixture of computational, analytical and machine learning approaches to model the heat transfer to fuels and their physical and chemical behaviour, including changes in chemistry and physical