Faculty of Environment, School of Earth and Environment Funded Studentship 2025-26

Project Title Back to the Future: Ice Sheet collapse, ocean circulation showdown and abrupt climate change

School/Faculty: School of Earth and Environment

Closing Date: 17^th March 2025

Eligibility: UK/Home only 

Funding: 1 full-time PhD scholarship in the School of Earth and Environment for one UK candidate, covering a maintenance grant matching UKRI maintenance stipend (£20,780 per year in 2025/26) and UK tuition fees for three and a half years, as well as a Research Training Support Grant (RTSG) of £7,000, subject to satisfactory progress. 

Lead Supervisor’s full name & email address

Dr Ruza Ivanovic: R.Ivanovic@leeds.ac.uk 

Co-supervisor name(s) & email address(s) (optional)

Dr Lauren Gregoire: L.J.Gregoire@leeds.ac.uk 

Project summary

Are you passionate about climate research and keen to tackle one of the greatest climate challenges of today? Are you keen to develop advanced research skills that can equip you for a wide range of future careers? For these reasons and more, you may be an ideal candidate to apply for a studentship with project VERIFY: Out Of Sample Testing For Early Warning Systems Using Past Climate, funded by the UK’s Advanced Research + Invention Agency (ARIA*).

For this PhD, you will perform state-of-the-art ice sheet and climate model simulations of Earth’s most recent ice sheet collapse and reorganisation of Atlantic Ocean circulation to test and improve forecasts of crossing tipping points in the Greenland ice sheet and North Atlantic Ocean in the future. 

For full information, please see the advert on the University of Leeds website. 

References (Optional)

N/A 

Entry requirements plus necessary or desired background

The minimum entry requirements for PhD study are a 2.1 honours Bachelor degree, or equivalent, or a good performance in a Master's level course in Physics, Mathematics, Oceanography, Meteorology, Climate Sciences, Earth/Environmental/Geographical Sciences, Engineering, Computer Sciences or related disciplines.

Experience in computer programming (.e.g. Python, Fortran, C++, MATLAB, R...) or numerical modelling is highly desirable. Candidates with either strong/numerical programming skills or a good background in glaciology or climate science would be well suited to this project. 

Subject Area

Climate Science, Environmental Science 

Keywords

Climate science, climate impacts, ice core research, ice dynamics

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