Research Fellow (Statistics / Quantitive Social Science)

The Centre for Longitudinal Studies is multidisciplinary research centre, and is funded by ESRC as a Resource Centre which leads four of Britain's internationally renowned cohort studies: • 1958 National Child Development Study (NCDS) • 1970 British Cohort Study (BCS70) • Next Steps (formerly the Longitudinal Study of Young People in England) • Millennium Cohort Study (MCS)

About the role

You will contribute a programme of work funded by the ESRC’s Survey Futures project to evaluate and disseminate methods for handling mode effects. This will include: (a) helping draft a tutorial on using simulation methods to account for mode effects, (b) performing a systematic review of mode effect estimates and (c) carrying out a specification curve analysis of mixed mode experimental data to understand whether accounting for mode effects can change results across a range of real-world research questions. As use of mixed mode data collection continues to increase, this is an opportunity for you to make a substantial contribution to the survey methodological literature that ultimately makes future research more reliable.

You will work closely with the study PI (Liam Wright) and co-I’s (Richard Silverwood [UCL], Jose Pina Sanchez [University of Leeds], Joel Williams and Luke Taylor [Verian]), as well as be embedded within CLS’s Research and Survey teams.

About you

You will hold a PhD or equivalent experience in a relevant discipline (or in the process of completing) such as statistics, survey methodology, quantitative social science, or epidemiology along with knowledge of quantitative methods appropriate to (longitudinal) survey data.

Research expertise in the field of survey methods is desirable.

Your application form should address all the person specification points and should clearly demonstrate how your skills and experience meet each of the criteria.

It is important that the criteria are clearly numbered and that you provide a response to each one. Please ensure that you upload a CV.

This post is available from 1 November 2024 and is funded to 31 March 2026 in the first instance.

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