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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
to create solutions that are not only functionally excellent but also economically viable for large-scale deployment in diverse global contexts. This project aims to develop comprehensive design and
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efficiency, and resilience. This research directly addresses these challenges by developing high-performance, secure, and adaptive AI-driven architectures. With increasing global investments in AI-powered
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, and energy efficiency. Advanced Manufacturing: Developing and implementing cutting-edge fabrication techniques (e.g., micro-fabrication, polymer, nanoparticle) to realise the designed metamaterial
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and develop Technical staff across the University, we are a founding signatory of the Science Council's Technician Commitment. Find out more here . Working Arrangements Collaborating and connecting
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validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer
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priority in both national security and commercial contexts. Overview To develop and evaluate a non-destructive verification method for multi-layer FR4-based printed circuit boards using advanced imaging
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering
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clearing and resetting meeting rooms when required. Serve occasional drinks in the bar after hours, on request to the required standard. Prepare occasional late night menu options to the correct standard
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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We invite applications for a self-funded PhD to explore innovative research in the development of human-centred embodied multi-agent systems that able to compensate and augment human capabilities in