We are seeking an independently-minded scientist able to combine statistical and physical models of uncertainty to evaluate marine air temperature observations and construct a new long climate record of temperature change. This role is part of GloSAT, a large four-year research project recently funded by the UK Natural Environment Research Council (NERC) that will construct and analyse a new multi-century Global Surface Air Temperature climate data record. The post-holder will lead research to develop and analyse a new marine air temperature dataset as part of the NOC contribution to GloSAT.
We are looking for someone with a PhD in a numerate discipline, or equivalent experience, who is skilled in using and developing data analysis software ideally in python or R. You will be experienced in the application of statistical methods to observational datasets, and may have developed mixed statistical and physical models for uncertainty estimation. You will be able to show evidence of the development of new approaches to research problems.
To apply, please submit an up-to-date CV and cover letter here.
If you are unable to apply online, please contact the NOC Careers Team
For general enquiries regarding this role, please contact Dr Elizabeth Kent
Closing date: 7th July 2019
Deadline: July 7, 2019