The Economics Group at King’s Business School, King’s College London, is seeking to appoint two Postdoctoral Research Associates to join a growing team of researchers developing understanding of productivity using large and linked firm-level datasets.
The posts are affiliated with ESCoE and The Productivity Institute (TPI), an ESRC-funded research institute established to investigate the drivers of productivity in the UK and elsewhere. The post-holders will engage with the activities of, and other researchers in, ESCoE, the TPI, at King’s and elsewhere, and will work closely with researchers at the ONS.
The Postdoctoral Research Associates will play a major role in the design and execution of research. Successful candidates will conduct data analysis, development of code, modelling, and take a proactive role in developing project methodology. They will work with the project team to produce co-authored journal publications and related outputs.
Successful candidates will hold a PhD (or be under one year to completion from post start date) in economics or another quantitative social science discipline. Their research interests should be in the broad area of applied economics and data analysis, with experience in productivity, growth, firm dynamics, business dynamism, production function estimation and data science all being advantageous. Candidates should have advanced data-analytical and econometric training, experience of handling large datasets and of execution and write-up of independent research projects. Experience of Stata, R or Python is essential. Existing ONS secure lab certification is an advantage.
Candidates should have the ability to work independently. They should have strong organisational skills, in order to work with data providers, project stakeholders and other team members. We also require excellent written and verbal communication skills and ability to convey technical material in non-technical terms for policy and other non-academic stakeholders.
Applicants should ensure they upload a curriculum vitae (CV) or resume; a covering letter; and a job market paper or other evidence of research to the ‘Attachments’ section in the application system.
The deadline for applications is 12 May 2022.
This post will be offered on a fixed-term research contract for 2 years with the possibility for extension to 3 years.
This is a full-time post – 100% full time equivalent.
To apply click here.