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Econometrics and Climate Economics● OpenPostdocPreview

Post-Doctoral Research Fellow in Climate and Macroeconometrics

Explore economic impacts of climate shocks using structural vector autoregression with leading econometrics expertise.

Best for:Best for postdoctoral researchers with a PhD in economics, expertise in time-series econometrics, and a passion for climate-related economic analysis.

University of St Andrews · St Andrews, United Kingdom · R2 · Recognised researcher
More professors at University of St Andrews
structural vector autoregressionclimate-related economic shockstime-series econometricsBayesian econometric methodsmacro-econometricsenvironmental economics
This is a postdoc position — not a PhD studentship.
Deadline
Dec 15, 2026
61 days
Funding
Salaried
£38.8k/yr
Start date
1 March 2027 (or as soon as possible thereafter)
Full-time
Location
St Andrews
United Kingdom

Overview

This postdoctoral position at the University of St Andrews focuses on investigating the economic consequences of climate-related shocks—such as natural disasters or extreme weather—using monthly or quarterly data. Under the supervision of Dr. Martin Bruns, the successful candidate will develop a database of climate shocks, implement advanced time-series econometric methods in R, Python, and MATLAB, and collaborate with partners like the University of East Anglia’s Climatic Research Unit, the European Central Bank, and DIW Berlin. The role involves both methodological research and applied studies, with a strong emphasis on disseminating findings at international conferences and engaging in professional development. The project is funded by the Leverhulme Trust and offers a fixed-term opportunity to contribute to cutting-edge research at the intersection of climate science and macroeconomics.

postdoctoral researchclimate economicseconometricstime-series analysisR programmingPython programmingMATLABeconomic modeling

What you'll do

  • Construct a comprehensive database of monthly climate shocks for use in structural vector autoregression models.
  • Develop and implement novel time-series econometric methods using R, Python, and MATLAB software packages.
  • Collaborate with external partners, including the University of East Anglia’s Climatic Research Unit, the European Central Bank, and DIW Berlin.
  • Engage in broader research activities within the macroeconomics cluster at St Andrews Business School.
  • Present research findings at international conferences and related academic events.
  • Participate in internal and external training events and professional development opportunities.

Requirements

Degree required: PhD in Economics or a related field (or near completion)

Language: English (proficiency required for academic work and communication)

Instruction: English

Required skills
  • Expertise in time-series econometrics and macro-econometrics
  • Experience handling large datasets
  • Proficiency in R, Python, and MATLAB programming
  • Interest in environmental sciences and climate-related research
Nice to have
Experience with Bayesian econometric methodsPrior engagement in climate-related research projects
Eligibility
  • No specific nationality or residency restrictions mentioned
  • Open to applicants near completion of a PhD in Economics or related fields

Funding & terms

Type
Salaried
Amount
£38.8k/yr
Duration
60 months (fixed-term until 31 December 2031)
Programme
Leverhulme Trust
Leverhulme Trust

How to apply

Deadline: 2026-12-15

Applicants must submit their application through the University of St Andrews' official vacancy portal. Ensure your application includes a CV, cover letter, and any additional documents requested. The application process involves a review of submitted materials followed by an interview scheduled for 26 January 2027.

Documents required
  • CV
  • Cover letter
  • Research statement or relevant academic documents
↗Apply on site

Contact

Martin Bruns· Supervisor

mb630@st-andrews.ac.uk

MB
Prof.
Martin Bruns
Business School (Economics)
Lab
Macro Cluster, Department of Economics
University of St Andrews
Leverhulme TrustUnited Kingdom
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