At a Glance
- Tasks: Develop statistical methodology for multivariate extreme value problems and publish results.
- Company: The position is based in Lancaster under Principal Investigator Jennifer Wadsworth.
- Benefits: Opportunity to publish in journals and present at conferences.
- Other info: Experience with multivariate extreme value theory is essential.
- Why this job: Engage in cutting-edge research on geometric representations of extremes.
- Qualifications: PhD in statistics or related field, strong programming skills in R, Matlab, or C++.
The predicted salary is between 30000 - 40000 £ per year.
Overview: This grant focuses on developing an 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.
Responsibilities: 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.
Qualifications: 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.
Research Associate in Statistics employer: Lancaster University
Join a dynamic research team in Lancaster led by Jennifer Wadsworth, focusing on innovative statistical methodologies. Enjoy opportunities for professional development through publishing and presenting your work at conferences.
