This is an exciting opportunity to explore deep learning (DL) methods, in combination with geophysical and hydro-mechanical models, to extract information on the stability of dams and other earthworks. The collapse of the auxiliary spillway of the Toddbrook Dam following heavy rain during summer 2019 brought significant public attention to potential hazards from failure of […]

There is a growing imperative to reverse global soil carbon losses and increase soil carbon stocks. This action could contribute to climate change mitigation and improve food security. While efforts to increase soil carbon are focused on enhancing soil carbon stabilisation and persistence, soil carbon can also be subject to destabilisation and loss through physical […]

Coastal marine ecosystems are undergoing rapid change due to multiple anthropogenic impacts including overfishing, climate change, pollution and renewable energy generation. These changes have important impacts on marine organisms, including top predators such as seabirds, leading to increased concern for protected populations. Understanding how seabirds adjust their behaviour with respect to spatio-temporal variation in their […]

DNA sequencing has revolutionised our understanding of soil microbial biodiversity, uncovering the ecology of thousands of novel taxa and providing new opportunities for innovation within areas such as biomonitoring, forecasting, and sustainable agriculture. To harness these growing datastreams for applications operable at realistic landscape scales, there is an urgent need for predictive modelling linking environmental […]