Research Fellow in Modelling Climate-Ice Sheet Interactions
Are you an ambitious climatologist looking for your next challenge? Do you want to work with world leaders in glaciology 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 climate scientists, glaciologists and statisticians 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’ future sea level rise using information from past events when ice sheets became unstable. You will run ensembles of coupled climate-ice sheet simulations on High Performance Computing facilities at the University of Leeds that will contribute to the development of SMB-Gen, the first advanced statistical model or ‘emulator’ of past climate and ice sheet surface mass balance. There is the possibility of extending the project for an additional year to investigate triggers of instabilities in marine and terrestrial ice sheets in the last 20,000 years and likelihood of future rapid sea level rise. You will work with partners from the MetOffice, government agencies and energy and transport industries and with colleagues from the Priestley International Centre for Climate on the co-production of knowledge on ‘worst-case’ sea level rise. You will have opportunities for travel and secondments to Grenoble, the University of Reading, the University of Exeter as well as government and industrial partners.
You will have, or be close to obtaining, a PhD in climate, ocean or atmospheric science, glaciology or a closely allied discipline and have extensive experience of using models and observations to study climate and/or ice sheet processes. Knowledge of how past climate and ice sheet evolution are reconstructed, experience in model development and/or familiarity with methods for quantifying model uncertainty are desirable. You will have evidence of a strong commitment to publishing and presenting scientific results at an international level and the ability to work as part of a team.
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 will consider job share / part time / flexible working arrangements
Post Type: Full Time
Contract Type: Fixed Term (for 2.5 years due to external funding)
Closing Date: Sunday 14 July 2019
Downloads: Candidate Brief