Post-Doctoral Research Fellow in Climate - and Macroeconometrics - AR3355CM

Overview

The University of St Andrews Business School in the Economics department is offering a Post-Doctoral Research Fellow position in Climate and Macroeconometrics. The successful candidate will join Dr Martin Bruns on a Leverhulme Trust-funded project titled Short-run Climate Change Effects: Evidence from Structural Vector Autoregression. This research investigates the economic impacts of climate-related shocks and weather extremes at monthly or quarterly intervals through applied and methodological time series studies.

The fixed-term position runs until 31 December 2031, beginning on 1 March 2027 or as soon as possible thereafter, for a duration of 60 months. Primary responsibilities include building a monthly climate shock database for structural vector autoregression models, applying new time series econometrics techniques in programming languages such as R, Matlab, and Python, communicating with external partners including the European Central Bank, the German Institute for Economic Research, and the University of East Anglia Climatic Research Unit, sharing findings at international conferences, and participating in the economics department macro cluster research activities.

Who can apply

Applicants must hold or be near completion of a PhD in economics. Candidates are required to possess expertise in macro-econometrics and time series econometrics, experience in managing large datasets, and an interest in environmental sciences. Prior involvement with climate-related research and Bayesian econometric methods is considered advantageous.

What you get

The role provides a salary of 38,784 GBP per annum at Grade 6. Staff benefits comprise membership in the USS Pension Scheme with a 14.5% employer contribution, 34 days of annual leave plus five public holidays, and a financial contribution toward relocation subject to eligibility. Employees also receive access to a hybrid working environment including partial homeworking, family-friendly policies, subsidised sports memberships, library facilities, training opportunities via LinkedIn Learning, reduced tuition fees on degree programmes, a salary sacrifice scheme, staff discounts, free staff parking, cycle to work and carshare schemes, and subsidised local bus travel.

Key dates

The closing date for applications is 15 December 2026. Interviews are scheduled to take place on 26 January 2027. The anticipated start date for the role is 1 March 2027.