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Vacancy: Research Associate – CLS Cohort Research (Secondment x2)


The IOE’s Department of Social Science are looking for two Research Secondments to be based in the Centre for Longitudinal Studies’ Cross Cohort Research Programme.

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: 12 February 2017. Latest time for the submission of applications is 23.59

Interview date: TBC

A job description and person specification can be accessed on the UCL job page.

Salary will be at Grade 7 in the range of £34,056 to £41,163 per annum, including London allowance.

Duties and responsibilities

Applications are invited for 2 Research Secondments in the Department of Social Science (DSS) which houses the Centre for Longitudinal Studies (CLS), an ESRC Resource Centre. CLS has responsibility for and manages four of Britain’s internationally renowned birth cohort studies; NCDS, BCS70, MCS, and Next Steps.

As well as development of the cohort studies, CLS conducts research programmes including: The CLS Cross Cohort Research Programme (CCRP).

CLS welcome applications from candidates who are working in government and the third sector, with a background or interest in quantitative research or data analysis. Here is a chance to work at the cutting edge of social research in a highly regarded research institute.

This position is an exciting opportunity to work on cohort data conducting analysis in and publish research on topics in the Cross Cohort Research Programme. You will be expected to collaborate with researchers based at the Centre for Longitudinal Studies.

This appointment is available from April 2017 to July 2017.

Key requirements

Applicants should have research experience in any of the major applied quantitative disciplines, including epidemiology, social statistics, demography, population health, sociology, psychology, economics or social policy. A good understanding of applied quantitative research methods, specifically in the application of statistical methods to the analysis of large-scale longitudinal datasets. You will have a strong research interest in topic(s) such as healthy lifestyles, healthy ageing from child to adulthood, social mobility and mental health.

You will have excellent communication (written and verbal) and interpersonal skills including, the ability to work with academic collaborators. A PhD in relevant subject area or relevant experience.

Experience of a longitudinal study, or other major survey, or of working on a large scale complex research programme, is not essential but would be an advantage.

Further details

For further details about these posts, please contact George Ploubidis, Professor of Population Health and Statistics, and Principal Investigator of the CLS Cross-Cohort Research Programme. (T: 0207 612 6107; E: