Faculty of Humanities and Social Sciences
FTE: 0.2 (7 hours/week)
Term: Fixed term (until March 2023)
The project “How Credible are Firms’ Voluntary Climate Commitments? An Empirical Analysis of Corporate Climate Action” (funded by the British Academy) studies the conditions under which firms’ voluntary commitments are likely to translate into sustained, corporate climate action rather than empty promises of greenwashing. Against the backdrop of more and more firms making public commitments to voluntarily reduce their carbon footprints, the project’s core aim is to better understand how credible such announcements are. We will study this question with the help of rich, firm-level survey data.
As a Research Assistant, working under the guidance of Principal Investigator (PI) Dr Patrick Bayer at the University of Strathclyde, you will assist with the data preparation and data management in this project. Because of the complex data structure and large amounts of data, prior experience with applied data work, attention to detail, and excellent R skills are essential. The work hours are flexible, so you will manage and prioritise your own workload and work diligently towards deadlines to ensure on-time completion of agreed milestones.
To be considered for the role, you will be educated to a minimum of Degree level in political science, international relations, or another relevant subject area. You will have sufficient depth of knowledge in data management and data preparation in R and, ideally, a substantive interest in environmental/climate regulation, international political economy, or government-firm interaction from, for example, an economics or political science perspective. You will have good knowledge of the statistical programming language R, particularly, for data cleaning and management, an ability to work carefully and diligently, and to communicate professionally. An ideal candidate should enjoy applied data work.
The role is compatible with predominantly remote working, however you should be available to attend campus on occasion, when required. Candidates must reside in the UK and independently have the right to work in the UK.
Whilst not essential for the role, applications are welcomed from candidates with relevant work experience, experience of applied empirical research, and/or teaching experience, especially in data analysis and statistical methods.
Informal enquiries about the post can be directed to Patrick Bayer at firstname.lastname@example.org