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Field
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control of 3D printed pharmaceuticals and support broader adoption of additive manufacturing in drug development. The project would be ideally suited for someone with a strong chemistry or closely related
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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) to engineers and automated systems •Validate the system’s resilience, scalability, and practical relevance using real-world and representative datasets, with evaluation of technical performance and potential
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which allows us to control and manipulate the rotational orientation projection states of hydrogen molecules in gas-surface collisions, which can classically be considered to correspond to whether
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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explore ways to control their motion in 3D space. Synthetic microswimmers have many potential biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers
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Instrumentation and Environmental Control Systems (AID, ECS): A full-scale Boeing 737-400 aircraft equipped with instrumentation for studying environmental control systems and other onboard systems, providing a
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difficult for industry to predict and control product performance. This PhD project will tackle that challenge by applying advanced polymer characterisation techniques to better understand and quantify