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Field
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Supervisors:Dr Jianglin Lan & Dr Ahmed Zoha Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This PhD research aims to develop an AI-driven
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to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers
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also work alongside a Postdoctoral researcher at Nottingham to design and create small scale supercritical water systems to generate samples that will help optimise a process that will then be scaled
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Supervisors:Dr Dezong Zhao & Prof Lei Zhang Year 1 MSc Course: MSc Communication and Signal Processing Year 2 – 4 PhD Location: Glasgow University Research Abstract: This research aims to enable robots to tackle
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manufacturing processes. This is posing major environmental and ethical challenges. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings, a promising
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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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of GPUs and/or time in either training or inference procedures, which pose considerable challenges to both academia and industry for widespread access and deployment. In particular, the sampling process of
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the integrity of infrastructure such as pipelines and process plants. Traditional inspection and monitoring methods often face limitations when dealing with complex pipework and constrained geometries
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understanding of engineering mechanics and mechanical behaviour of materials. Knowledge of irradiation damage, computer modelling for nuclear materials, or steel metallurgy would be advantageous. Potential
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT