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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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of applied knowledge is preferred and a PhD in a relevant discipline required. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation
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is desirable, though candidates from non-glaciological/environmental science backgrounds will be considered and are actively encouraged to apply. You should have a PhD or equivalent applied experience
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of work that both delivers project aims and draws on your strengths. There will also be opportunities to pursue your own research ideas related to the overall project aims. Pre-existing knowledge