Research Fellow in Statistical Emulation of Climate and Ice Sheet Models

University of Leeds

Leeds, United Kingdom

Job posting number: #7089809 (Ref:ENVEE1508)

Posted: November 30, 2021

Job Description

Are you an ambitious statistician looking for your next challenge? Do you want to work with world leaders in glaciology and data science to tackle future sea level rise? Do you want to further your career in one of the UKs leading research-intensive Universities?

You will join a team of climate scientists, glaciologists and statisticians led by Associate Professor Dr Lauren Gregoire as part of the prestigious UKRI Future Leaders Fellowship project “SMB-Gen: 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 develop SMB-Gen, the first ‘emulator’ of past climate and ice sheet surface mass balance using cutting-edge statistical AI techniques. This emulator will be used to simulate past and future instabilities in the Greenland, Antarctic and Northern Hemisphere ice sheets and the resulting sea level rise. There is a possibility of extending this employment as new avenues for research emerge. You will work with partners from the MetOffice, the Environment Agency and energy and transport industries on the co-production of knowledge on ‘worst-case’ sea level rise. You will be co-supervised by Danny Williamson, Fellow of the Alan Turing Institute and Associate Professor of Bayesian Uncertainty Quantification at the University of Exeter and will have opportunities for extended visits/secondments to project partners.

You will have, or be close to obtaining, a PhD in Statistics, Machine Learning or a related subject, ideally with expertise in Bayesian optimisation, Gaussian process emulation or Uncertainty Quantification. Experience in applying these techniques in environmental sciences or familiarity with climatology or glaciology is also desirable. You will have evidence of a solid commitment to publishing and presenting scientific results at an international level and experience in working as part of a team.

Applications for part-time work and job-shares will be considered.

To explore the post further or for any queries you may have, please contact: 

Dr Lauren Gregoire, Associate Professor in Earth System Modelling

Tel: +44 (0)113 343 4945

Email: [email protected] 

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  School of Earth and Environment
Category:  Research
Grade:  Grade 7
Salary:  £34,304 to £40,927 p.a.
Working Time:  100%
Post Type:  Full Time
Contract Type:  Fixed Term (until 30 October 2023 due to external funding)
Release Date:  Monday 29 November 2021
Closing Date:  Thursday 06 January 2022
Reference:  ENVEE1508

The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.

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