University of Leeds
Top university
Just Landed
3 days ago
PhD in Uncertainty in Recent Global Warming Trends and Extreme Events with a Global km-Scale Model University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and access to a Flexible Fund for special projects. CASE support from the Met Office includes visits and use of Met Office supercomputing facilities.
Deadline
Jan 13, 2027
Country
United Kingdom
University
University of Leeds
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opportunity at the University of Leeds in the School of Mathematics (part of EPS) on uncertainty in recent global warming trends and related risks of extreme events using a global km-scale model.
The project investigates the recent increase in Earth’s energy imbalance, record global mean temperatures, and the rising frequency and intensity of regional extreme events. It asks whether high-resolution climate simulations can improve understanding of climate variability and change, and whether they can reduce uncertainty in predictions of recent warming trends and extreme events.
Research will focus on the period 2021–2026, including annual means and individual months. The work will use prescribed sea surface temperatures, stratified sampling of uncertain model parameters, lower-resolution experiments, and statistical or machine-learning emulators such as Bayesian statistical emulators to design experiments and quantify uncertainty. The project also explores a new cloudy energy balance model and its ability to assess uncertainty in high-resolution simulations.
The project has CASE support from the Met Office, with opportunities for visits and access to Met Office supercomputing facilities.
Eligibility: applicants with backgrounds in meteorology and climate science, or in statistics and mathematics, are suitable. Experience with Python or other data analysis tools is required, together with an interest in the physical processes governing climate change.
Funding: part of the UNRISK CDT, offering fully funded NERC studentships with full tuition coverage, a UKRI-rate stipend, research and training costs, cohort training support, and a flexible fund. Applications are open to UK and international applicants, although international awards are limited by UKRI rules.
Location: Leeds, United Kingdom.
Project supervisors: Prof Timothy Heaton, Dr Nadhir Ben Rached, Dr George Datseris, and Dr Lorenzo Tomassini.
Funding details
Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and access to a Flexible Fund for special projects. CASE support from the Met Office includes visits and use of Met Office supercomputing facilities.
What's required
Applicants should have a background in meteorology and climate science, or in statistics and mathematics. Experience with data analysis tools such as Python is required, along with an interest in the physical processes governing climate change. The project is open to UK and international applicants, though international awards are limited by UKRI rules.
How to apply
Read the UNRISK website for full details and application instructions. Submit an application through the programme route for the UNRISK CDT PhD studentship. Check eligibility carefully if you are an international applicant, especially visa and IHS costs.
More information can be found here
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.