Aerosol Research Scientist or Statistician

Are you an ambitious researcher looking for your next challenge? Do you have an established background in atmospheric modelling or statistics? Do you want to further your career in one of the UKs leading research intensive universities?

The NERC Aerosol-MFR (Towards Maximum Feasible Reduction in Aerosol Forcing Uncertainty) project tackles one of the most challenging and persistent problems at the frontier of atmospheric science research – to accurately quantify the magnitude of anthropogenic aerosol radiative forcing of climate. Aerosol forcing has for several decades been the largest cause of uncertainty in historical climate change, and this uncertainty feeds through to future climate projections and estimates of the remaining carbon budget to avoid dangerous global warming.

Aerosol-MFR is a collaboration between climate scientists and statisticians at the University of Leeds and the University of Sheffield. The project has the ambitious aim to reduce uncertainty in aerosol radiative forcing towards its maximum feasible limit using novel statistical approaches applied to climate model simulations and extensive observations. The project will produce more-realistic climate models, more-confident climate projections, as well as new information to prioritise future model developments.

The research at Leeds focuses on novel ways to combine observations, model simulations, and advanced statistical methods to detect structural deficiencies in models - i.e., model biases that require improvements to model physical processes. Previous research at Leeds has shown that such deficiencies hinder progress with reducing model uncertainty. You will work in collaboration with scientists in Sheffield who are working on ways to use of observations to more effectively reduce uncertainty.

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

Professor Ken Carslaw

Email: [email protected]