|£33,966 to £44,263 Grade 6, per annum
|26th January 2024
|26th February 2024
Machine learning for weather and climate modelling is moving at a breath-taking pace. We are seeking exceptional individuals to undertake research into the development of machine learning based Earth System modelling approaches. Specifically this is your opportunity to revolutionise the approach of existing Earth System models in representing land surface hydrology and its feedbacks to the atmosphere, particularly at the extended range, and in providing accurate and reliable predictions of hydrological conditions and extremes such as floods.
This role is funded by the research programme on Advancing the Frontiers of Earth System Prediction (AFESP) - a £30million 15-year investment by the University of Reading, in partnership with the European Centre for Medium-Range Forecasts (ECMWF), the UK Met Office and the National Centre for Atmospheric Science. It will deliver sustained investments to tackle some of the far-term (10–15 year) and difficult (high-risk, high-reward) research challenges in global Earth System prediction.
By enhancing our capabilities in earth system modelling, the research programme will deliver a new class of accurate, reliable and usable forecasts, aiming to re-define the medium-range predictability limit from two to at least four weeks, enabling a wide range of new scientific and societal applications.
Full time, fixed term post for 5 years.
Interview date w/c 18/03/2024
Main duties and responsibilities
Undertake collaborative research and make significant contributions to the following activities:
Information on further research posts on the working on the Advancing the Frontiers of Earth System Prediction (AFESP) research programme available here
Informal contact details
Contact role: Professor of Hydrology
Contact name: Professor Hannah Cloke
Contact email: firstname.lastname@example.org
Alternative informal contact details
Contact role: Professor of Climate System Science & Climate Hazards and Director of University of Reading - ECMWF Research Collaboration
Contact name: Professor Pier Luigi Vidale
Contact email: email@example.com
Type / Role: