This PhD project aims to reduce uncertainty surrounding combined sewer overflows (CSOs) in the UK by developing a national deep-learning model that predicts spill behavior under future climate scenarios. The project involves creating a comprehensive dataset and using machine learning techniques to explore the relationship between environmental variables and spill patterns.
地球科学系Full university tuition fees; personal stipend at standard UKRI rates; £6,000 individual research and training costs; £5,000 cohort-level training
