Tanya O'Garra

University of Oxford’s Smith School of Enterprise and the Environment is advertising a Postdoctoral Research Associate role for a short-term, 5-month project focused on AI-enabled causal evaluation of nature . The work sits at the intersection of computer science , statistics , environmental science , and biology , with an emphasis on building computational infrastructure for causal evaluation in environmental and ecological settings. The post is being shared by Tanya O'Garra (Senior Research Associate, Smith School, University of Oxford; Visiting Reader, Imperial College London), and the project involves collaboration with Lily Xu (Columbia) and Rachel Neugarten (Wildlife Conservation Society). The announcement highlights a research community at Oxford and invites candidates with a background in computational data science and causal inference who are interested in applying AI methods to nature, conservation, and ecological questions. Eligibility highlights: the opportunity is only open to UK-based researchers , and the post notes that the funding does not cover visa costs . No deadline, salary, or stipend amount is provided in the post. How to apply: the poster says full details and application instructions are in the comments. Interested candidates are also invited to send a direct message before applying.