PhD opportunity: Interdisciplinary approaches for improving biodiversity assessments using remote sensors

Funded PhD opportunity.

The project will be heavy on state of the art machine learning with applications to statistical ecology. The project will be jointly supervised by the Schools of Maths and Stats (Alison Johnston, Chris Sutherland) and Computer Science (Kasim and Oggie) and potentially fully funded by CREEM.

Strong applicants with experience with deep learning and strong maths background are particularly welcome to apply.