PhD Student Projects
More exciting opportunities coming soon for 2026!
ExaGEO equips students with the skills, knowledge, and principles of exascale computing — drawing from geoscience, computer science, statistics, and computational engineering — to tackle some of the most pressing challenges in Earth and environmental sciences and computational research. Students will work under expert supervision in the below fields:
- Atmosphere, hydrosphere, cryosphere, and ecosystem processes and evolution
- Geodynamics, geoscience and environmental change
- Geologic hazard analysis, prediction and digital twinning
- Sustainability solutions in engineering, environmental, and social sciences
Each student will be positioned within a supervisory team consisting of multidisciplinary supervisors; one computational, one domain expert, and one from an Earth or environmental, and/or social science research background. This ‘team-based’ supervisory approach is designed to enhance multidisciplinary training.
Please note that some projects may have incomplete supervisory teams, however the full teams will be finalised before the start of the PhD.
Project Selection and Information
- You must apply for three projects. Each project has two project variations, i.e., teaser projects. During your first year, after working on both teaser projects (under the same supervisory team), you will select the project that best aligns with your interests. For further information on how this process will work, please see the FAQs section on our Apply page.
- Your PhD institution will be determined by the Principal Supervisor’s institutional affiliation.
- You can apply for projects at different institutions.
- Projects are grouped by research field.
- If you have any queries regarding a specific project, please contact the supervisor listed first (this will be the Principal Supervisor).
- Projects are funded via ExaGEO; this includes fees, stipends and a Research Training Support Grant. For further information, please see our Apply page.