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Research offers an opportunity to explore AI-powered embedded systems, avionics, electrification, robotics, manufacturing, and healthcare applications. Students will specialise in either embedding AI
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) supports researchers in working together to achieve excellence and impact in delivering the University’s vision for research and innovation. Our Values and Commitments Our shared, stated values help
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This is an exciting opportunity for candidates who would like to complete an MSc by Research in any topic that fits within the broad remit of design engineering for which the expert supervisor/s
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. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making future transport
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from such machines to derive algorithms expressing their state of health and next maintenance needs. A background in both engineering and machine learning would be useful, although help is readily
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would like support in identifying the best possible supervisor that can help you develop your research proposal, please contact Professor Andrew Thompson who will be able to help you.
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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. This provides a unique capability to assist researchers and engineers in gas turbine performance and health monitoring in gas turbine and power generation industry. The history of gas turbine performance
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sold network with aerospace sector which help the students in the result discussions This is a self-funded PhD open to UK, EU and international applicants. Research carried out during this PhD project
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uncertainty and limited data availability, this research aims to revolutionize decision-making in End-of-Life product management. This initiative addresses crucial gaps in sustainable environmental management