"Postdoctoral Research Assistant"

Department of Physics, Clarendon Laboratory, Parks Road

Applications are invited for a Postdoctoral Research Assistant in Atmospheric Physics.

 Weather and climate prediction involves combining information about the current state of the Earth-system with a computer model encoding the equations describing the system. Errors in the approximations made when building the computer model introduce uncertainty into the prediction. This model uncertainty must be accounted for to produce reliable forecasts on weather through climate timescales. In the weather forecasting community, stochastic parametrisations are a widely used approach to represent this model uncertainty: random numbers are included into the equations of motion to account for uncertainty in the model’s formulation. Stochastic parametrisations are remarkably effective at improving the skill of probabilistic weather forecasts, but current operational approaches are simple and pragmatic. This begs the question, why are our current approaches so effective, and how can we improve them further? This project will address these important questions

The successful candidate will undertake independent research, and participate in the academic life of the Atmospheric Processes group and the AOPP sub-department.

Applicants should possess, or be very close to obtaining, a doctorate in physics, climate science, computer science, or a related field.

 The post-holder will have the opportunity to teach.

Please direct enquiries about the role to Hannah Christensen (hannah.christensen@physics.ox.ac.uk)

Only applications received before midday 16th August 2024 can be considered. You will be required to upload a brief statement of research interests, CV and details of two referees as part of your online application.

Contact Person : HR Team

Vacancy ID : 174245

Contact Phone :

Closing Date & Time : 16-Aug-2024 12:00

Pay Scale : STANDARD GRADE 7 Contact Email : recruitment@physics.ox.ac.uk

Salary (£) : Grade 7: £36,024 - £44,263 per annum