The position is for a post-doctoral researcher to work on a Leverhulme Trust-funded project ‘The Path of the Labour Share in the Short and Long Run’ at the School of Economics, University of Kent and led by Dr Mathan Satchi and Prof. Miguel León-Ledesma. The post is 18 months duration.
The project’s focus is on understanding the joint short- and long-run behaviour of the labour share of income through the lens of equilibrium macro models. You will help with constructing, implementing, and estimating models which, most often, will involve the use of non-linear solution methods.
The candidate will be judged primarily on their research potential for this area as evidenced by their job market paper (or equivalent).
Other skills that may help the candidate include:
- strong training in macroeconomics, with knowledge of economic growth, DSGE models, computational methods, and a good understanding of Macroeconomic theory
- programming: Primarily Matlab and possibly Julia. Some experience of R and Stata would be welcome
- some experience of estimating general equilibrium models is also desirable
For application inquiries contact The Resourcing Team on jobs@kent.ac.uk quoting ref number: SS-276-20.
For academic inquiries contact Mathan Satchi M.Satchi@kent.ac.uk
Further information on teaching and research may be found on the School’s website: www.kent.ac.uk/economics.
Application Procedure:
In order to complete your application, you will need to complete two stages. If both stages are not complete, your application cannot be considered.
The first stage is to submit a complete application via the EconJobMarket website https://econjobmarket.org/. A complete application comprises a job market paper, CV, references, and optional cover letter.
The second stage is to complete the University of Kent's application form at https://jobs.kent.ac.uk/. To access the form enter the vacancy number SS-276-20 in the search facility. You will be asked to submit a CV, optional cover letter and personal details.
Please see the links below to view the full job description and also to apply for this post.
We particularly welcome applications from female candidates as they are under-represented at this level in this area