PhD in Artificial Intelligence

Biodiversity is declining at an alarming rate, affecting the delivery of ecosystem services on which we all rely for our well-being and the economy. This project will develop state-of-the-art AI algorithms to monitor and predict biodiversity loss under different climate and pollution scenarios by applying graph neural networks (GNNs) to model historical biodiversity data from freshwater lake ecosystems in England, using sediment core environmental DNA.