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.
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.
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
- 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
- No specific nationality or residency restrictions mentioned
- Open to applicants near completion of a PhD in Economics or related fields
Funding & terms
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.
- CV
- Cover letter
- Research statement or relevant academic documents
Contact
Martin Bruns· Supervisor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.