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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science, applied mathematics, or a closely related field. Experience or interest in
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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scope to define the project during the first year of study in line with their own research background and interests. Applications are sought from people with either a social science master’s level degree
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the level of Security Check (typically known as “SC”) which includes having a minimum of five years permanent residency in the UK. Programme and Location: The Engineering Doctorate Researcher will
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and culture within it. Who we are looking for We are looking for an enthusiastic, self-motivated candidate, with a 1st or high 2:1 degree in computer science or mechanical engineering. The candidate
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. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement
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and an interest in and familiarity with computational protein engineering approaches is essential. Hands-on experience in computational protein design and engineering is desirable. The ability to work
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Education: An excellent first degree in computer science, engineering or a closely related field Skills and