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) exploiting unlabelled operational data and self-supervised representation learning strategies to reduce reliance on costly measurements and manual labelling. Multi-fidelity modelling will fuse low- and high
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large, real-world datasets with ground truth labels, the application of data-driven approaches in the indirect damage identification context, while promising for network-level monitoring, has been largely
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LIBS can provide advantages beyond the complementary information that the two techniques can offer. While LIBS gives quantitative and distribution information of light and bulk components, LA-ICP-MS can
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to calculate level densities. The student will be part of the AWE Quantum Centre for Nuclear Defence and Security. Students will benefit from links to resources and expertise in this centre, as well as from
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for real cities Publish high-impact research Collaborate with a major UK infrastructure provider Contribute to smarter, greener network deployment Be part of a large, supportive PhD cohort Shape the future
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, Japan), gaining exposure to both theoretical and experimental aspects of the field. Opportunities for lab visits abroad will further enrich your research experience. You will be part of a vibrant and