Research Associate

Applications are invited for a Research Associate in Statistics in the School of Mathematics and

Statistics. You will be working with Dr Jill Johnson and Professor Jeremy Oakley on research

funded by the NERC project “Towards Maximum Feasible Reduction in Aerosol Forcing

Uncertainty” (Aerosol-MFR).

Aerosol-MFR is at the frontier of addressing a long-standing challenge in climate science. The Intergovernmental Panel on Climate Change (IPCC) has repeatedly flagged aerosols as the largest source of uncertainty in simulations of global temperature change. Reducing aerosol radiative forcing uncertainty in climate models is a significant challenge. This project, Aerosol-MFR, will develop innovative statistical approaches to determine how best to reduce this large and persistent uncertainty.

You will have  a Phd in Statistics or a related subject and good programming skills in a language such as R or Python.  Knowledge of statistical methods for analysing uncertainty in computer model predictions, e.g. Gaussian process emulators; sensitivity analysis; model calibration/history matching is also desirable.

We are one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We are committed to exploring flexible working opportunities which benefit the individual and University. We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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Apply now by clicking on the Apply button located near the top of your screen.

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