Research Associate in Statistics

This grant focuses on developing understanding of geometric representations of extremes, and how these can be used to provide state-of-the-art statistical methodology for multivariate extreme value problems. The Principal Investigator on the grant is Jennifer Wadsworth and the postdoc position will be based in Lancaster.

Your role would be to work, both independently and together with the PI and collaborators, on statistical methodology for, and applications of, multivariate extreme value theory. You will publish and disseminate results via journal articles, conference presentations and open source computer code.
You should have completed, or be close to completing a PhD in statistics, data science or a closely related discipline. You should have a good record of research in terms of submitted and draft publications, and be able to demonstrate strong programming skills (e.g. R, Matlab, C++). Experience with multivariate extreme value theory is essential, whilst experience with the so-called "geometric approach" to multivariate extremes would be highly advantageous.