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 position on mathematics of deep learning for an October 2026 start. The selected home applicant is guaranteed funding, but I also encourage international applicants to apply as an international fee waiver may be available. Send me a CV and motivation by 10 December 2025. Early applications are strongly encouraged. More information

  • A PhD project on Scalable Deep Learning for Biodiversity Monitoring under Real-World Constraints within the ExaGEO CDT with statistician Prof. Rachel McCrea (Lancaster University), applied mathematician working on computational movement ecology Prof. Colin Torney, wildlife ecologist Dr. Thomas Morrison, and geoscientist Dr. Paul Eizenhöfer. Application deadline: 9 January 2026. More information on the project and programme: https://www.exageo.org/phd-student-projects/

  • 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. Full description

    For international students: Send me a CV and motivation by 8 December 2025. Early applications are strongly encouraged. For home students: please apply directly via the https://iapetus.ac.uk/ portal by 5 January 2026.
    There is an Q&A application event by Iapetus on 26 November at 2pm, for which you can sign up here

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


  • A PhD project on Deep Learning Optimization and Design Choices for Marine Biodiversity Monitoring within the Leverhulme Programme for Doctoral Training in Ecological Data Science with Dr. Laurence De Clippele (University of Glasgow). Applications will open in early 2026. More information on the programme: https://ecological-data-science.github.io/

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

  • I am a co-supervisor on an IAPETUS PhD project led by Dr. Laurence de Clippele (University of Glasgow) on Sounding out the deep: using AI and passive acoustic monitoring to reveal spatial and temporal patterns in deep-sea ecosystems. Full description

  • I am a co-supervisor on an ExaGEO PhD project led by Prof. Jethro Browell (University of Glasgow) on High-resolution nowcasting of wind speed and power generation. Application deadline: 31 January 2026. More information on the project and programme: https://www.exageo.org/phd-student-projects/

Current and Previous Supervision

  • PhD student Viktor Wu. The marine rewilding effect: Building a cost-effective framework for measuring Marine Net Gain project with Dr. De Clippele (main, University of Glasgow), Dr. Hogdson (CreditNature), and Dr. Wartmann (University of Aberdeen) within the NETGAIN CDT.
  • PhD student Antonella Marsella through the DiveIn CDT. Jointly supervised with Prof. Fani Deligianni (main, Computing Science) and Dr. Stuart Grey (James Watt School of Engineering)
  • PhD student Tobias Froehlich through the DiveIn CDT. Jointly supervised with Dr. Lauritz Thamsen (main) and Prof. Wim Vanderbauwhede in Computer Science.
  • PhD student 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.
  • PhD student Sílvia da Silva Mourão through the DiveIn CDT. Supervised by: Dr. Dr Paul R. Eizenhöfer (main, Geographical & Earth Sciences), Prof. Larissa Naylor (Geographical & Earth Sciences), and Dr. Zhiwei Gao (Engineering).
  • 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.