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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
aerospace environments. The objectives of the PhD are: •Extract structured engineering knowledge from unstructured maintenance data using LLMs, and represent it using ontologies and knowledge graphs •Develop
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PhD Studentship: Microswimmers with Autonomous Propulsion Inspired by Biology and Designed with Physics Are you fascinated by working at the intersection of physics and synthetic biology? This PhD
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4-year D.Phil. studentship Supervisors: Prof Matthew McGilvray & Dr Luke Doherty College: Oriel College An exciting PhD project in Effects of thermal warpage on supersonic intake and combustion will
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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, qualifications and experience required to perform the role are: Relevant background experience may include urban studies, policy, systems engineering, civil engineering, construction management, climate mitigation
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, qualifications and experience required to perform the role are: Relevant background experience may include urban studies, policy, systems engineering, civil engineering, construction management, climate mitigation
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and Civil Engineering PhD Research Project Directly Funded UK Students Dr Marco Colombo Application Deadline: 30 September 2025 Details Are you ready to push the boundaries of engineering innovation and
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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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and manufacturing methods. The Centre's contributions to industry are demonstrated through its extensive MSc and PhD research initiatives and its ongoing technology development programs in large-scale
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how variations in mould structure, porosity, and surface characteristics affect radiative heat transfer and casting performance. Phase-field modelling will also be used to simulate defect formation and