Research Fellow in Modelling Climate-Ice Sheet Interactions
Are you an ambitious climate scientist or glaciologist looking for your next challenge? Do you want to work with world leaders in climate-ice sheet science and artificial intelligence to tackle future sea level rise? Do you want to further your career in one of the UK’s leading research-intensive Universities?
You will join a team of scientists led by Dr Lauren Gregoire as part of the prestigious UKRI Future Leaders Fellowship project “Constraining projections of ice sheet instabilities and future sea level rise”. The ambitious and exciting aim of the project is to provide robust estimates of ‘worst case’ sea level rise in the 21st century and beyond using information from past events when ice sheets became unstable. You will create a large ensemble of coupled climate-ice sheet simulations on High Performance Computing facilities at the University of Leeds. This ensemble will provide us with a unique opportunity to comprehensively investigate the climatic triggers of ice sheet instabilities. You will collaborate with the project statistician to develop an efficient statistical model of ice sheet surface mass balance and evaluate the likelihood of rapid sea level rise. You will also work with MetOffice project partners, government agencies and energy and transport industries, as well as with colleagues from the Priestley International Centre for Climate on the co-production of knowledge on the policy implications of ‘worst-case’ sea level rise. You will have opportunities for training, including travel and secondments to Grenoble, the University of Reading, the University of Exeter as well as government and industrial partners. For a suitably ambitious researcher, funding is available to extend this position for an additional year to work on further applications of the tools developed.
You will have, or be close to obtaining, a PhD in Climate Science, Meteorology or Glaciology and have extensive experience of using models and observations to study climate and/or ice sheet processes. You may potentially be familiar with methods for quantifying model uncertainty or have insight into how analyses of past climate can inform future projections. Applications for part-time work, job-share or other flexible working arrangements are encouraged.
To explore the post further or for any queries you may have, please contact:
Tel: +44 (0)113 343 4945, email: email@example.com
Location: Leeds - Main Campus
Faculty/Service: Faculty of Environment
School/Institute: School of Earth and Environment
Grade: Grade 7
Salary: £33,199 to £39,609 p.a.
Due to external funding restrictions this post will be appointed at no higher than spine point 30 £33,199 p.a.
Working Time: 100% - We encourage applications for job share / part time / flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (for 2.5 years with option to extend due to external funding)
Closing Date: Tuesday 17 September 2019
Interview Date: Monday 30 September 2019
Downloads: Candidate Brief