Enhancing uncertainty quantification for climate modelling
Theme(s):
Primary Supervisor: Dr James Salter <[email protected]>
Institution: University of Exeter (Mathematics and Statistics)
PhD projects for 2027 start
New UNRISK PhD projects are now available for 2027 entry. There are 38 projects available to apply to.
Note that there are only 18 funded studentships available, so some projects will not recruit. Only the strongest 18 applicants will secure a funded studentship (through application and interview).
If you can see project titles marked ‘private’ please note these projects were offered in previous years, and are not valid for 2027. Please ignore these entries.
We encourage applicants to contact supervisors prior to making an application. Please do not try to make an application on the Leeds system until mid-November – codes will not be available so you will not be able to select the right programme.
You can contact supervisors any time from early October through to late December.
UNRISK encourages project co-development and the shaping of projects around student interests. This means that the supervisory teams of many projects are not yet finalised.
All students will be co-supervised by at least two supervisors.
Reducing uncertainty in the impact of climate on biodiversity
Theme(s):
Primary Supervisor: Stephen Pates <[email protected]>
Institution: University College London (Earth Science)
Exploring the uncertainty in recent global warming trends and related risks of extreme events with a global km-scale model
Theme(s):
Primary Supervisor: Prof Tim Heaton <[email protected]>
Institution: University of Leeds (School of Mathematics)
Prioritising Conservation Planning Amid Climate Uncertainty
Theme(s):
Primary Supervisor: Simon van Baal <[email protected]>
Institution: University of Leeds (Leeds Business School)
Innovative data driven approaches to predicting long-term European wind storm risk
Theme(s):
Primary Supervisor: Prof Amanda Maycock <[email protected]>
Institution: University of Leeds (School of Earth and Environment)
Testing the ability of AI-based regional models to capture hydroclimate changes of the geologic past
Theme(s):
Primary Supervisor: Chris Brierley <[email protected]>
Institution: University College London (Department of Geography)
AI mapping between drivers of future climate uncertainties and weather and climate impacts in Africa
Theme(s):
Primary Supervisor: D John Marsham
Tracking uncertainties from future storms to hazards and decisions
Theme(s):
Primary Supervisor: Prof Jennifer Catto <[email protected]>
Institution: University Of Exeter (Mathematics and Statistics)
Are forests becoming more vulnerable to climate extremes?
Theme(s):
Primary Supervisor: Mike O'Sullivan <[email protected]>
Institution: University of Exeter (Mathematics & Statistics)
Seamless regional climate prediction under uncertainty and adaptation decision-making
Theme(s):
Primary Supervisor: Suraje Dessai <[email protected]>
Institution: University of Leeds (School of Earth and Environment)
