Causal-Inference Ecologist: Precision Ecology Fellow

Economics Network; Southampton; Hybrid; GBP 42,000 - 54,000; Part time

Job summary

The University of Southampton, in the PRECISE project, invites applications for a Research Fellow to develop causal inference methods for ecology and conservation.

You will work with partners in the UK and abroad, analysing large observational datasets, designing studies, and producing open-source software and reproducible workflows.

Applicants should hold a PhD or equivalent, have strong quantitative-modelling skills, and experience in R or Python, with a track record of independent research.

Qualifications

• Strong quantitative-modelling skills and experience analysing complex observational data.
• Programming and data-analysis experience using R, Python or related software with reproducible workflows.
• Understanding of causal inference and its application to observational data.
• Understanding of reproducible research and Open Science principles.
• Evidence of independent research and communication through publications, software or reports.
• Excellent organisational, communication and collaborative skills.

Responsibilities

• Lead the development and evaluation of causal-inference and causal-prediction methods in ecology.
• Analyse benchmark datasets and large observational data to compare workflows.
• Create reproducible, open-source software and analytical workflows; provide tutorials and guidance.
• Collaborate with project partners to develop best-practice frameworks for ecologically grounded studies.

Skills

Quantitative modelling

Observational data analysis

Causal inference

Open science/reproducible research

Independent research & publications

Communication & collaboration

Education

PhD or equivalent in a quantitative discipline

Tools

R

Python

Job description

The University of Southampton, in the PRECISE project, invites applications for a Research Fellow to develop causal inference methods for ecology and conservation.

You will work with partners in the UK and abroad, analysing large observational datasets, designing studies, and producing open-source software and reproducible workflows.

Applicants should hold a PhD or equivalent, have strong quantitative-modelling skills, and experience in R or Python, with a track record of independent research.