We are looking for a Research Associate/Senior Research Associate in Spatial Statistics to join the GlobalMass team.
The successful candidate will be responsible for the statistical framework that combines a wide range of observational data sets and other prior information into an evaluation of global sea level rise assessments. Applicants need to be familiar with modern practice in large-scale spatial statistics such as the SPDE approach to Gaussian Markov Random Fields, or the Integrated Nested Laplace Approximation approach, implemented in R.
This position is part of a European Research Council grant including four other positions, which together tackle the challenge of assessing and predicting sea level rise, globally. A better understanding of sea level rise is crucial in the context of climate change, as millions of people live in parts of the world that are threatened by future coastal flooding.
The University of Bristol has world-class expertise in both sea level research and computational statistics. This position is a unique opportunity for an early career statistician to develop theory and practice at the cutting edge of modern statistics, and to contribute to a complex but crucial scientific question.
The successful candidate will be appointed either on a fixed-term or a permanent contract, depending on the extent of their previous relevant research experience. Funding for the post is available until 31/07/2021.
Please direct any enquiries about this post to Professor Jonathan Bamber (email@example.com; +44 (0)117 331 4129).