About the role The SalGo Team ( https://salgo.web.ox.ac.uk/ ) at the University of Oxford’s Department of Biology seeks a Postdoctoral Researcher to join the NERC Pushing the Frontiers project Integrating and Predicting Responses of Natural Systems to Disturbances. About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community resilience. This task will involve integrating demographic models (e.g., structured population like matrix population models and/or integral projection models) with community stability analyses using, among others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis to understand how individual- and population-level responses scale up to determine community-level resilience. The PDRA will by physically based in Prof. Rob Salguero-Gómez’ lab, and collaborate closely with CoIs Prof. Andy Hector and Dr. Iain Stott, as well as key international partners Prof Tuljapurkar and Dr Barabás. Applicants should hold (or be near completion of) a PhD/DPhil in ecology, theoretical biology, or a related field, with demonstrated experience in quantitative ecological modelling, community or population dynamics, and strong analytical and programming skills (R or Python). How to apply The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed. We recognise how the diversity of our community enriches our ability to deliver on our academic mission. We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. This post is full time and available immediately. The closing date for applications is 12.00 noon on Monday 5 January 2026, interviews are likely to be scheduled for mid-January 2026. Applications for this vacancy are to be made online via our e-recruitment system, and you will be required to upload a supporting statement and CV as part of your online application.