This post is part of a UK consortium funded by the Natural Environment Research Council to reduce the uncertainty in estimates of radiative forcing and climate feedbacks relating to aerosol and cloud processes. The Leeds contribution to the project will be to use new applications of uncertainty modelling to quantify the key uncertainties in cloud microphysical processes and climate effects. You will run cloud-resolving models and global climate models simulating the interaction of aerosols and clouds. New approaches using statistical emulators will be used to understand how uncertainties in numerous cloud processes impact the cloud properties of relevance to climate. You will closely collaborate with other project scientists carrying out laboratory and modelling studies.
The ACID-PRUF consortium involves nine UK universities (Manchester, Leeds, Bristol, Exeter, York, Leicester, Hertfordshire, Cambridge and Oxford) and the Met Office and brings together laboratory studies and modelling of clouds and climate processes on all scales. Other scientists involved in the project at Leeds are Prof Alan Blyth, Dr Steven Dobbie and Dr Ben Murray.
You will have a PhD and expertise either in a relevant area of atmospheric modelling or in uncertainty quantification in complex models. You will be able to demonstrate commitment to publication of original results at an international level.
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