Are you an ambitious statistician looking for your next challenge ? Do you want to work with world leaders in glaciology and artificial intelligence to tackle future sea level rise?
We are recruiting a Research fellow at the University of Leeds for at least 2.5 years. You will join a team of climate scientists, glaciologists and statisticians led by Dr Lauren Gregoire in collaboration with Dr Danny Williamson as part of the prestigious 7-year 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 develop SMB-Gen, the first 'emulator' of past climate and ice sheet surface mass balance using cutting-edge techniques in Uncertainty Quantification. 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.
The closing date has been extended to the 18th of August.
To download the Candidate Brief and apply online, visit: http://jobs.leeds.ac.uk/ENVEE1344.
Job share, part time and flexible working arrangements are possible. Contact me if you want to explore the post further.
Dr Lauren J. Gregoire
UKRI Future Leaders Fellow
Lecturer in Earth System Modelling
School of Earth and Environment
University of Leeds, Leeds, LS2 9JT
Priestley building, Room 10.17
Tel: (+44)0113 34 34945
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