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communities may have ecosystem level impacts that must be considered as part of sustainable management of the deep ocean, and in light of the new High Seas Treaty. This studentship will ask: how are deep-water
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil
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Methods Marine bivalves such as mussels and oysters are vital for UK coastal ecosystems and support multi-million-pound aquaculture industries. However, their survival and performance are increasingly
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in Participating Departments Becoming a part of Exeter’s postgraduate research (PGR) community means you will have access to leading research facilities and industry connections. You’ll play a pivotal
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, machine-learning tools, and Lagrangian transport modelling. You will be based at the British Antarctic Survey and work closely with experts at the University of Leeds and Exeter, who provide cutting-edge
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of Southampton. Before joining Southampton, he was a Postdoc at the University of Birmingham (2023-2024) and Newcastle University (2021-2023). More details can be found in his personal website: https://hanwu.ac.cn
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Methods The Southern Ocean plays a disproportionate role in capturing anthropogenic heat and carbon. Its complex dynamics are characterised by interaction between the large-scale and a range of small-scale
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specimens tell us about changes in bat morphology in response to climate and land-use changes over the past century? The supervisory team will provide training in bat research, bioinformatics, genomic
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to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand