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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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with natural systems. This interdisciplinary project will combine laboratory experiments, numerical modelling, and advanced artificial intelligence (AI) techniques to improve predictions of the coastal
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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protocols. Crucially, you will develop experiment-ready models that rigorously account for realistic device imperfections—bridging the gap between theory and practical implementation. Objectives Develop a
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone