Lecturer in Applied Statistical/Survey Methodology or Social Statistics

About us

IOE is UCL’s Faculty of Education and Society. Founded in 1902, IOE has been shaping policy and helping government, organisations and individuals navigate a changing society for the last 120 years.

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)
• Millennium Cohort Study (MCS)
• Next Steps (formerly the Longitudinal Study of Young People in England)

The Centre has also recently been funded to test the feasibility of establishing a new UK birth cohort study, the Early Life Cohort Feasibility Study (funded by ESRC), and is collaborating on two further new longitudinal studies, the Children of the 2020s (funded by DfE) and the Covid Social Mobility study (COSMO) (funded by UKRI).

About the role

CLS is looking to increase its range and/or depth of statistical and methodological expertise by the appointment of an applied statistical methodologist, social statistician, or survey methodologist. This post represents an exciting opportunity to develop the applied methodological research of the Centre, and in so doing undertake high-impact research in CLS’ longitudinal studies, including NCDS, BCS70, MCS, and Next Steps, and more newly established cohorts (COT2020s, ELC and COSMO) using rigorous quantitative methods.

You will make a major contribution to the CLS Applied Statistical Methods and Survey Methods research programmes and take responsibility for the production of regular reports on survey response and analysis of non-response bias in the cohort studies managed by CLS.

About you

You will have completed a PhD in statistics/social statistics, survey methodology, or a quantitative social science or health-related discipline and have an established record of published scholarly research. You will be able to demonstrate expertise in at least two of the following:

• Causal inference in observational data
• Principled methods for missing data handling
• Survey methodology
• Measurement issues
• Methods of longitudinal analysis

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.

For a full job description and to apply for this role please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs) and search using vacancy reference B16-01111.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent.

We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.

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