Please feel free to email me about the opportunities below. In your email include your CV, university transcripts, and any dissertations/papers you may have written (but do not worry if you do not have any publications at this stage).

Opportunities

  • PhD projects on mathematics of deep learning.

  • PhD project within NetGAIN with Prof. Phil Stephens (Durham University), Dr. Thomas Hodgson (CreditNature), Joel Sellors-Moore (National Trust), and Prof. Colin Torney (University of Glasgow) Towards increased confidence and public engagement in targeted AI-based frameworks for biodiversity monitoring. Non-academic partners: CreditNature, National Trust. Applications will open in a few months.

  • The University of Glasgow offers James McCune Smith scholarships for black UK domiciled students. More information: https://www.gla.ac.uk/scholarships/mccune-smith/

  • PhD project within the IAPETUS DTP with Dr. Ellen Bowler (British Antarctic Survey), Prof. Phil Stephens (Durham University), Dr. Linus Ericsson (University of Glasgow), and Dr. Peter Fretwell (British Antarctic Survey) on From Wandering Albatrosses to Hedgehogs: Using AI and Citizen Science to Improve Biodiversity Monitoring under Ground Truth Uncertainty. Applications will open in a few months.

Hedgehog detected by a camera-trap © National Hedgehog Monitoring Programme .
Wandering albatross, South Georgia, Bird Island, British Antarctic Survey. .


PhD Student Supervision

  • Michaelangelos Petrakis Rios. Dissecting Deep Neural Networks. Co-supervised with Dr. Linus Ericsson (Computing Science UofG).
  • Viktor Wu. The marine rewilding effect: Building a cost-effective framework for measuring Marine Net Gain project with Dr. Laurence De Clippele (main, Marine Science UofG), Dr. Tom Hogdson (CreditNature), and Dr. Flruina Wartmann (University of Aberdeen) within the NETGAIN CDT.
  • Antonella Marsella through the DiveIn CDT. AI-Driven Neurofeedback for Personalized Cognitive Training in Virtual Reality. Jointly supervised with Prof. Fani Deligianni (main, Computing Science) and Dr. Stuart Grey (James Watt School of Engineering)
  • Tobias Froehlich through the DiveIn CDT. Federated Learning: A More Sustainable Alternative to Centralised AI Training? Jointly supervised with Dr. Lauritz Thamsen (main) and Prof. Wim Vanderbauwhede in Computer Science.
  • Fay Bennedik. Statistical methods for abundance estimation using emerging data types with Prof. McCrea (Lancaster University, main), Prof. Torney (main, University of Glasgow), Prof. Morales (University of Glasgow), Dr. Wallin (Lancaster University) within the ExaGEO CDT.
  • Sílvia da Silva Mourão through the DiveIn CDT. Digital Twins for Coastal Management: Integrating Process-Based Models and Artificial Intelligence to Predict Coastal Evolution. Supervised by: Dr. Paul R. Eizenhöfer (main, Geographical & Earth Sciences), Prof. Larissa Naylor (Geographical & Earth Sciences), and Dr. Zhiwei Gao (Engineering).
  • A PhD project on Using AI to understand spatial and temporal change in marine ecosystems within the Leverhulme Programme for Doctoral Training in Ecological Data Science with Dr. Laurence De Clippele (University of Glasgow).

Other Supervision

  • Summer project on Deep Learning for Climate Downscaling with Dr. Ericsson (Computing Science) and Dr. Passano Hellan (NORCE).
  • Deploying deep learning for marine biodiversity monitoring with Dr. De Clippele (main, University of Glasgow) and Dr. Smith (University of Copenhagen) within the Leverhulme Programme for Doctoral Training in Ecological Data Science.
  • Machine learning for camera trap image classification, EPSRC Vacation Project with Dr. Peter Stewart (University of Glasgow). Output: paper NeurIPS Tackling Climate Change with Machine Learning 2025 Workshop.
  • Summer Research Project on Layer-wise training of neural networks and adversarial robustness. Output: paper NeurIPS Optimization for Machine Learning 2025 Workshop.
  • UG Summer Research project on Monitoring vegetation patterns from drone imagery using machine learning, with Dr. Eizenhöfer (University of Glasgow).
  • Summer Research Project on Layer-wise training of neural networks and adversarial robustness.
  • AIMS Ghana MSc in Mathematical Sciences projects.
  • Level 4 Projects on neural network optimisation.
  • Effective nonlinearity and effective capacity of deep neural networks, Master Thesis Project, with Dr. Pinson (main, Eindhoven University of Technology).
  • UG Summer Research project on Monitoring vegetation patterns from drone imagery using machine learning, with Dr. Eizenhöfer (University of Glasgow).
  • MSci project with industry co-supervisor Dr. Hodgson (CreditNature) on Simulating Scottish Ecosystems for Landscape Ecology Metrics.