Research Fellow in Causal Inference and Ecology

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description We have an exciting opportunity for a Research Fellow to join the UKRI-funded PRECISE (Precision Ecology for a Changing World) project. You will help establish Precision Ecology , which seeks to predict the effects of conservation interventions in specific ecological contexts. Moving beyond average effects, the project will predict site-specific responses to environmental management and restoration, supporting effective conservation decisions. Based in the School of Geography and Environmental Science at the University of Southampton, you will work with researchers at Southampton, the UK Centre for Ecology & Hydrology (UKCEH) and the Norwegian Institute for Nature Research (NINA), and international collaborators in statistics, causal inference and ecological modelling. You will play a leading role in developing and evaluating methods for causal inference and causal prediction in ecology. Using benchmark datasets produced through ecological simulations and large observational datasets assembled by project partners, you will investigate how sampling strategies and data characteristics affect the performance of alternative causal-inference and machine-learning workflows. You will identify which approaches perform best under different conditions and translate the findings into practical guidance. You will create reproducible, open-source software, analytical workflows, tutorials and gui