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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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and systems and the loss of tritium. Moreover, permeation of any hydrogen isotope is accompanied by an uptake of hydrogen in the material, leading to degradation of its mechanical properties. This PhD
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A funded 4-year UK EngD / PhD studentship is available in the group of Prof Sandy Knowles within the School of Metallurgy and Materials at the University of Birmingham, with a tax-free stipend of
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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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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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on novel nano-structured tungsten alloys for fusion (W-Cr https://doi.org/10.1016/j.apmt.2024.102430 and W-Ti-Fe https://doi.org/10.1016/j.apmt.2021.101014 ). This EngD/PhD project is set within the Fusion
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, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally. The successful PhD
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and biomaterials research within the Lab. This experimentally focused PhD position will fit a wide range of application interests, suitable for applicants from all engineering and scientific backgrounds
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PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
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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