Improving Predictions of Tropical Forest Response to Climate Change
Theme(s):
Primary Supervisor: Dr David Galbraith <[email protected]>
Institution: University of Leeds (School of Geography)
PhD projects for 2026 start
This is a list of projects starting in 2026. 36 projects are currently advertised. We anticipate advertising about 40 projects in total. Please keep returning to this page to find new projects.
Because UNRISK encourages project co-development and the shaping of projects around student interests, the supervisory teams of many projects are not yet finalised. All students will be co-supervised by at least two supervisors.
Harnessing chaos to estimate climate hazards
Theme(s):
Primary Supervisor: Prof Adam Scaife <[email protected]>
Institution: University of Exeter (Mathematics and Statistics)
The power of present-day observations to constrain uncertainty in future climate projections
Theme(s):
Primary Supervisor: Ken Carslaw <[email protected]>
Institution: University of Leeds (Institute for Climate and Atmospheric Science)
Climate uncertainty and complexity of compound events and implications for the water system in Eastern England
Theme(s):
Primary Supervisor: Dr Ajay Bhave <[email protected]>
Institution: University of Leeds (School of Earth & Environment)
Integrating Data Mining, AI and Multi-Criteria Analysis for Water-Related Climate Impacts
Theme(s):
Primary Supervisor: Dr Sajid Siraj <[email protected]>
Institution: University of Leeds (Leeds University Business School)
Modelling tropical storms using survival analysis and AI: understand, describe, predict
Theme(s):
Primary Supervisor: Prof Leonid Bogachev <[email protected]>
Institution: University of Leeds (School of Mathematics)
Quantifying uncertainty and outlining plausible futures for compound heat-health risks
Theme(s):
Primary Supervisor: Dr Yuchen Li <[email protected]>
Institution: University of Leeds (Geography)
Quantifying climate projection uncertainty arising from the signal-to-noise paradox
Theme(s):
Primary Supervisor: Prof James Screen <[email protected]>
Institution: University of Exeter (Mathematics and Statistics)
Spatio-Temporal Models for Prediction of Extreme Rainfall Events
Theme(s):
Primary Supervisor: Dr Arief Gusnanto <[email protected]>
Institution: University of Leeds (School of Mathematics)
Using Statistical Emulators to Quantify and Understand Urban Climate Risks
Theme(s):
Primary Supervisor: Dr Hossein Mohammadi <[email protected]>
Institution: University of Exeter (Department of Mathematics and Statistics)
