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-relevant insights supporting the design of effective Marine Protected Areas (MPAs) and informed Marine Spatial Planning. Training Based at the University of East Anglia, you will gain expertise in marine
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overall, 6 in each category). Acceptable first degree: Computer Science/Physics/Maths or other numerate discipline. Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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conferences and writing peer-reviewed papers. This PhD includes 3-6 months spent at the UK National Physical Laboratory (NPL), for research-led training on inferring CO2 emissions using atmospheric datasets and
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strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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system. The project is supervised by Prof. Hannah Dugdale (University of Groningen), Prof. David S. Richardson (University of East Anglia, UK) and Prof. Kees van Oers (Netherlands Institute of Ecology