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for the coupled model and with the hydrological modellers who will use glacier coverage and runoff as inputs You will join a team of investigators in the Schools of GeoScience in the University of Edinburgh, with
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, hydrology, soil science, greenhouse gas emissions and sustainability, and both environmental and economic modelling with the objective of working together to find sustainable solutions to the climate
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to these opportunities. This project’s research group combines expertise in farm business management, cropping, hydrology, soil science, greenhouse gas emissions and sustainability, and both environmental and economic
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) at the University of Leeds and will be a collaborative enterprise between the Schools of Mathematics, Computing and Earth & Environment in Leeds, and the UK Centre for Ecology and Hydrology (UKCEH) in Wallingford
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for Ecology and Hydrology (UKCEH). The resulting tool will be integrated into the E-Surveyor application developed by UKCEH. As part of this exciting opportunity, you will be responsible for the development
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physical geography, geomorphology, hydrology or equivalent Possess strong GIS, large dataset manipulation and coding skills, preferably using Python or R Experience of applying machine learning and/or
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for Ecology & Hydrology. This PDRA post will work across different disciplines and develop novel mathematical models and tools to uncover when, where and how phenotypic plasticity shapes species' responses
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of mechanical, ecological, and hydrological processes in natural porous media, and to increase our understanding of the dynamics of Peatland, and carbon sequestration within it. Peatlands store the most carbon
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have a sufficient breadth or depth of specialist knowledge in at least one related discipline or an (inter)disciplinary area (e.g. geography, hydrology, science communication, risk management), and
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Dominic Brass at UK Centre for Ecology & Hydrology. The postholder should be motivated to work across different disciplines and will develop novel mathematical models and tools to uncover when, where and