The School of Geography, Geology and the Environment and the Institute for Environmental Futures at the University of Leicester are inviting applications for a small number of research fellowships in the context of the UKRI grant ‘Self-learning digital twins for sustainable land management’. The project is funded under the AI for Net Zero programme and is developing self-learning digital twin technology to aid decision-making for reducing greenhouse gas emissions from ruminants (cows and sheep) and agricultural peatlands in the UK.
The project is led by Prof Heiko Balzter at the University of Leicester and includes a team of leading researchers from three research-intensive universities (Leicester, Bristol and Loughborough) and the National Centre for Earth Observation (NCEO at Space Park Leicester) with complementary expertise in AI, environmental research, greenhouse gas measurement and modelling, and behavioural and social science, as well as industry leaders.
The Fellowship holder’s research will complement the team of researchers working on the AI for Net Zero project through an independent programme of research. The geographic focus of the fellowship should be the United Kingdom or part thereof. In particular, we are interested in research activities complementing the following areas:
– Informatics / Computer Science / Mathematics: Refinement and extension of the AI and digital twin architecture developed in the project
– Environmental Science / Physical Geography / Physics: Integration of greenhouse gas flux measurements from peatlands collected by eddy covariance towers and chambers with remote sensing datasets
– Environmental Science / Ecology / Agricultural Science / Physical Geography: Estimation of greenhouse gas emissions from ruminants (cows and sheep) and scaling from animal to farm, landscape and regional to national scale
– Psychology / Behavioural Science: Understanding drivers of and barriers to behavioural change in land managers towards adopting more environmentally friendly practices.
More information:
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