Fully funded PhD positions in Ecological Data Science & ML

[Tiffany Vlaar]

The Leverhulme Programme for Doctoral Training in Ecological Data Science is offering interdisciplinary fully-funded PhD positions at the University of Glasgow for an October 2025 start.

In year 1, students undertake a group rotation project in 3 projects with different supervisors, before selecting a single project as their PhD topic. 

Projects include:

• What do wild insects do? Leveraging AI to describe wild insect behaviour and to uncover their functions for fitness
• Text mining with large language models to enhance infectious disease ecology
• Using animal movement data to understand and predict human-wildlife conflicts 
• Collective animal movement and resource selection in changing environment
• Extreme value theory for predicting animal dispersal and movement in a changing climate
• Leveraging large language models to provide insights into global plant biodiversity
• Implications of mosquito community composition changes for vector control
• The impact of deep learning optimization and design choices for marine biodiversity monitoring
• Computationally efficient inference methods for integrated spatial capture-recapture and movement models

 

All information can be found on: https://ecological-data-science.github.io

Deadline for applications is 5pm (GMT) on 7 March.