Climate & Macroeconometrics Postdoc — Hybrid Research Fellow

University of St Andrews

St Andrews

On-site

GBP 33,000 - 45,000

Full time

9 days ago

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Benefits offered by this job

Relocation support
USS Pension 14.5% employer contrib.
Hybrid working environment
Family-friendly policies
Staff discounts

Job summary

University of St Andrews invites applications for a Post-doctoral Research Fellow to work on a Leverhulme Trust funded project led by Dr Martin Bruns, examining climate shocks and macro-econometric methods. The appointment runs for 60 months, starting 1 March 2027, with broader collaborations across CRU, ECB and DIW Berlin.

The successful candidate will build a climate shocks database and apply time series econometrics using R, MATLAB and Python, based in St Andrews Business School.

Qualifications

  • PhD in economics with expertise in time series and macro-econometrics.
  • Experience handling large datasets is required.
  • Desirable: Bayesian econometric methods.

Responsibilities

  • Construct a database of monthly climate shocks for SVAR analysis.
  • Implement time series econometrics methods in R, MATLAB and Python.
  • Liaise with external partners (CRU, ECB, DIW Berlin).
  • Engage in macro-cluster research at St Andrews Business School.
  • Disseminate project findings at international conferences and related events.
  • Attend internal and external training and professional development opportunities.

Skills

Time series econometrics
Macroeconometrics
Handling large datasets
Bayesian econometrics (desirable)

Education

PhD in economics

Tools

R
MATLAB
Python

Job description

University of St Andrews invites applications for a Post-doctoral Research Fellow to work on a Leverhulme Trust funded project led by Dr Martin Bruns, examining climate shocks and macro-econometric methods. The appointment runs for 60 months, starting 1 March 2027, with broader collaborations across CRU, ECB and DIW Berlin.

The successful candidate will build a climate shocks database and apply time series econometrics using R, MATLAB and Python, based in St Andrews Business School.

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