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This project could be right for you if you enjoy solid mechanics and structures, have an inclination toward computational and analytical mechanics, and are also interested in carrying out physical experiments
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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awarded a first class or 2.1 honours degree (or equivalent if from other EU countries) in materials science, chemistry, physics, chemical engineering, mechanical engineering, manufacturing, or a relevant
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information and other funding options: View Website Eligibility Students are expected to hold a 2.1 Hons degree or above, or equivalent, in Electronics and Electrical Engineering, Computer Science, Physics
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for the best opportunity to be considered. How To Apply Apply online via the Apply button. Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Choose an