Students
| Student | Department | Topic area | PhD project title |
| Matt Allen | Dept of Geography | Ecology, remote sensing | Automated tree species classification from forest terrestrial laser scanning data |
| Hamish Campbell | Dept of Plant Sciences | Peatland restoration, carbon credits | An accurate, scalable and low-cost method for assessing peatland regeneration projects using artificial intelligence methods |
| Katie Green | British Antarctic Survey and Dept of Computer Science and Technology | Marine ecosystems | Understanding ecosystem dynamics to protect marine ecosystems |
| Madeline Lisaius | Dept of Computer Science and Technology | Machine learning for remote sensing | Self-supervised learning approaches in earth observation leveraging physical knowledge about the Interaction of electro-magnetic radiation with vegetation canopies as applied to agriculture (Partner Mantle Labs). |
| Joycelyn Longdon | Dept of Computer Science and Technology, | Deforestation and forest management | Monitoring Ghanaian forests with bioacoustics, machine learning and indigenous knowledge. – Partner BTO |
| Simon Mathis | Dept of Computer Science and Technology | Ecosystems | Understanding the cold adaptation of life at the protein and cellular level |
| Jonathan Roberts | Dept of Engineering | Environmental land-cover classification | Computer vision, ‘few-shot’ learning, remote sensing, large-scale, multimodal model, land cover, unsupervised domain adaptation. |
| Sofija Stefanovič | Dept of Computer Science and Technology | Mining, pollution, water access, soil health | Monitoring impacts of exploratory mining with community citizen science and AI systems |