About this role
The role
A postdoctoral position is available on patterns of resilience loss across space and through time, under the guidance of Assoc. Prof. Christopher Clements (University of Bristol) in collaboration with Prof. Dylan Childs and Prof. Andrew Beckerman (University of Sheffield). This is a full-time, 3-year post starting as soon after the 1 January 2026 as feasible.
The STABILI-NICHE project will use niche theory and a global dataset of >1.8M time series from 6,700 chordate species to build n-dimensional abiotic niches and estimate each population’s position within its species’ niche space. We will assess how niche marginalisation — movement towards niche edges — affects population stability, model the impacts of changes in key niche components (e.g. temperature, rainfall) individually and in combination, and project how stability will shift spatially and temporally over coming decades. This will identify at-risk species and regions, develop tools for assessing stability in data-deficient species, and provide next-generation modelling approaches to inform conservation priorities.
The project has a strong conservation focus, involving close engagement with local partners (e.g. West of England Nature Partnership) and international NGOs (e.g. Zoological Society of London). Funding is available for conference attendance and collaborator visits. You will join a diverse research group working on ecological dynamics via experimental, modelling, and large-scale data approaches, with opportunities for collaboration and postgraduate supervision.
Hybrid working is available – flexibility of working up to 2 days per week from home.
What will you be doing?
You will lead the quantitative analysis and modelling for STABILI-NICHE, integrating large-scale population datasets with high-resolution climate and land-use data, constructing multi-dimensional niche models, and applying advanced Bayesian spatio-temporal methods. You will:
Build n-dimensional abiotic niches for >6,700 species and estimate population positions within them. Quantify niche marginalisation and assess its effects on population stability. Model how individual and combined niche component changes influence stability loss rates. Project stability change across space and time to pinpoint emerging risk areas. Develop tools for assessing stability in data-deficient species and strategies for conservation planning. Work closely with conservation stakeholders to ensure outputs inform biodiversity management.
You should apply if
You have a PhD (or near completion) in quantitative ecology, conservation biology, or a related field. You are skilled in statistical modelling, particularly Bayesian methods such as BRMS or R-INLA, and proficient in R. You have experience with niche modelling, multivariate analyses (e.g. PCA), and integrating climate/land-use data with biological datasets. You understand concepts in ecological stability, resilience, and biodiversity change. You can communicate complex quantitative findings clearly to academic and practitioner audiences. You enjoy collaborative, interdisciplinary research and are committed to open, reproducible science.
The role offers flexibility to align analyses with your expertise, opportunities to supervise students, and scope to contribute to conservation policy via NGO and governmental engagement.
Additional information
For informal enquiries please contact Dr Chris Clements, Associate Professor in Ecology
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