Research Fellow - Causal Inference for Precision Ecology

EURAXESS Ireland

Southampton

Hybrid

GBP 36,000 - 48,000

Part time

9 days ago

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Job summary

The University of Southampton invites applications for a Research Fellow to join the PRECISE project in the School of Geography and Environmental Science. You will help develop and evaluate causal-inference methods to predict site-specific ecological responses and inform conservation decisions, working alongside partners in the UK and Norway.

You will create reproducible software and workflows, contribute to open datasets, and help translate findings into practical ecological study design and

Qualifications

  • PhD or equivalent in a relevant quantitative discipline.
  • Strong quantitative-modelling skills.
  • Experience with R and Python for analytical workflows.
  • Understanding of causal inference and its application to observational data.
  • Familiarity with Open Science principles.

Responsibilities

  • Develop and evaluate causal-inference methods for ecological questions.
  • Use benchmark datasets from simulations and large observational data.
  • Assess how sampling strategies and data characteristics affect methods.
  • Create reproducible software, workflows, and tutorials.
  • Develop best-practice frameworks for observational studies and ecological monitoring.

Skills

Quantitative modelling
R/Python data analysis
Causal inference
Reproducible research
Publications/software
Collaboration

Education

PhD or equivalent in a relevant quantitative discipline

Tools

R
Python

Job description

The University of Southampton invites applications for a Research Fellow to join the PRECISE project in the School of Geography and Environmental Science. You will help develop and evaluate causal-inference methods to predict site-specific ecological responses and inform conservation decisions, working alongside partners in the UK and Norway.

You will create reproducible software and workflows, contribute to open datasets, and help translate findings into practical ecological study design and

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