The IOE’s Department of Social Science are recruiting a Research Associate to join the Centre for Longitudinal Studies.
This post is based in the IOE’s Department of Social Science, where CLOSER is also based. This post is not based in CLOSER.
Closing date: 25 October 2017, latest time for submissions 23:59
Interview date: 15 November 2017
Hours: Full Time
Salary (inclusive of London allowance): £34,635 – £41,864 per annum
A job description and person specification can be accessed on the UCL job page.
Applicants are invited for a Research Associate position in the Department of Social Science (DSS) as part of the Centre for Longitudinal Studies (CLS). The Centre for Longitudinal Studies has responsibility for and manages four of Britain’s internationally renowned cohort studies. The cohort studies follow individuals throughout their lives.
The studies involve multiple surveys, with specialised forms of data collection (for example physical measurements) and linkages to administrative records. Your work will be supported by the Administrative Data Research Centre for England, and the CLOSER consortium.
This post represents an outstanding opportunity to undertake high impact quantitative research using administrative data linked to cohort survey data at the individual level, using data from the four cohorts run by CLS. The main focus of work will be on analysis of records from HMRC. You may also work on other linked survey and administrative data, for example education. You will create derived variables for deposit and use by the wider research communities, and will undertake research using these data. You will contribute to training in the use of these data, and to the degree teaching of the Department.
This appointment is available immediately for 12 months initially.
Applicants should have a PhD (or very near completion) in a relevant quantitative social science discipline, including economics, sociology, social policy, demography, or social statistics. Those with relevant PhDs in other quantitative disciplines (e.g. psychology or epidemiology) are welcome to apply. You should have outstanding quantitative statistical analysis skills with demonstrable interest in research questions related to the linkage of HMRC and other administrative/survey records. You will have strong communication and interpersonal skills including the ability to write clearly and concisely, and present to both academic and non-academic audiences. The ability to work as part of a team is essential.
Experience of working with administrative datasets and the cohort studies managed by CLS is not essential but would be an advantage.
To apply for the vacancy please click on the ‘Apply Now’ button on the UCL job listing.
You are welcome to contact Lorraine Dearden (email@example.com) and Alissa Goodman directly by email about this post (firstname.lastname@example.org). If you would like to discuss the post in person with Alissa, please contact Geeting Wong (email@example.com) in the first instance to schedule an appointment.