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annum with potential progression to £52,067 per annum Apply by: 11/09/2026 Role Description We welcome applications from passionate, analytical and motivated researchers to advance understanding of how
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; cost, carbon or sustainability optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant
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. You will develop and apply state-of-the-art deep learning methods for land cover classification and change detection using multi-source aerial and satellite imagery. Working within an interdisciplinary
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Description We welcome applications from passionate, analytical and motivated researchers to advance understanding of how carbon is stored, stabilised and preserved in soils and underlying parent materials
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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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(XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and interpret complex 2D and 3D datasets. Working closely with the research lead and an