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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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Director of Studies (DoS): Dr. Yu Yao (yu.yao@plymouth.ac.uk , tel.: +447756140668) 2rd Supervisor: Dr. Maozhou Meng (maozhou.meng@plymouth.ac.uk ) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project...
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resilient. The PhD student will take the lead on the full research programme: designing studies, analysing data, developing models, and co-producing interventions with DfT and other partners. The PhD student
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-expert audiences. Subject areas : Accounting, Business, Computer Science, E Business, Economics, Environmental Sciences, Finance, Hospitality, Human Resource Management, Information Services, Management
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(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
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upper second-class undergraduate degree in any of Engineering, Materials Science, Computer Science, Physics, Mathematics. Excellent English written and spoken communication skills. It is desirable
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD...
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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conferences. You will have access to engaging professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career
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-assisted discovery and development of semiconductor materials and devices. This exciting new field will lead to new types of quantum computers, new lasers increasing the speed of the internet, electronics