Research Fellow: Causal Inference for Precision Ecology

University of Southampton; Southampton; On-site; GBP 37,000 - 46,000; Full time

Benefits offered by this job

Flexible working

Family-friendly policies

Disability Confident employer

Job summary

University of Southampton in Southampton invites applications for a Research Fellow in Causal Inference and Ecology. You will develop methods and evaluate causal approaches using ecological data, with partners across UKCEH and NINA.

The role emphasizes methodological development, study design and practical guidance for observational datasets. You will create open-source software and workflows, contributing to best-practice frameworks in ecological studies and monitoring.

Qualifications

• Strong quantitative-modelling skills and experience analysing complex observational data.
• Proficiency in R, Python or related software; reproducible workflows.
• Understanding of causal inference and its application to observational data.

Responsibilities

• Lead methodological development in causal inference and causal prediction for ecology.
• Develop and evaluate workflows using simulated and observational data.
• Create reproducible, open-source software and tutorials for best-practice analyses.
• Collaborate with partners to design ecological studies and monitoring programmes.

Skills

Quantitative modelling

Observational data analysis

Causal inference

Programming (R/Python)

Communication & collaboration

Education

PhD or equivalent in a quantitative field

Tools

Open-science workflows

Job description

University of Southampton in Southampton invites applications for a Research Fellow in Causal Inference and Ecology. You will develop methods and evaluate causal approaches using ecological data, with partners across UKCEH and NINA.

The role emphasizes methodological development, study design and practical guidance for observational datasets. You will create open-source software and workflows, contributing to best-practice frameworks in ecological studies and monitoring.