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We advertise job and internship opportunities for positions within the core CLOSER team, as well as vacancies based at our partner studies.

If you see a role you would like to apply for, please follow the specific application instructions stated in the job description.

View current CLOSER vacancies
View current vacancies within the CLOSER consortium

Current CLOSER vacancies

Unfortunately, there are no current vacancies available within the CLOSER team.

Current vacancies within the CLOSER consortium


Lecturer in Social Statistics / Survey Methodology / Quantitative Social Science

This post is based within the Centre for Longitudinal Studies, UCL Institute of Education.

Closing date: 14 September, latest submission time is 23.59
Interview date: TBC
Grade: 8
Contract: Full time
Salary: £43,023 – £50,753 per annum
Location: London

A person specification and job description are available to view on the UCL job listing page.

This post represents an exciting opportunity to undertake high-impact research in UK’s birth cohort studies using rigorous quantitative methods. CLS is looking to increase its range and/or depth of statistical and methodological expertise by the appointment of a social statistician, survey methodologist or a social scientist with another disciplinary background with expertise in quantitative methods relevant to our core research, methodological and teaching interests.

You will be expected to undertake and publish scholarly research using quantitative methods making use of longitudinal datasets housed at CLS and other sources while making a major contribution to the CLS Applied Statistical Methods and Survey Methods programmes and taking responsibility for the production of regular reports on survey response and analysis of non-response bias to the cohort studies managed by CLS.

You will also be expected to contribute to the work of maintaining, developing and promoting the CLS cohort studies, advise colleagues in CLS on other statistical matters that they meet in their research, raise research funding from research councils, foundations and public bodies, contribute to the CLS programme of workshops and training events to promote the CLS studies, participate in the capacity building of the research communities through contributing to the department’s teaching of quantitative methods and supervision of research students and enhance the profile of CLS, DSS, IoE and the wider UCL.

This post is available from 1 November 2018.

Key requirements

Completion of a PhD in statistics/social statistics, survey methodology, a quantitative social science or health-related discipline is essential as is research expertise in the field of social statistics or survey methodology or a field of applied quantitative social science involving the use of advanced statistical methods.

Previous experience of use of the CLS cohort studies is desirable.

Further details

To apply for the vacancy click on the ‘Apply Now’ button on the UCL job listing page.

If you have any queries regarding the vacancy, please contact Sharon Etienne (



Senior Research Officer

This post is based within the Institute for Social and Economic Research (ISER), at the University of Essex.

Closing date: 29 July
Interview date: TBC
Contract: Fixed-term, Full time
Salary: £32,548 – 38,832 per annum
Location: Colchester

A person specification and job description are available to view on the University of Essex job listing page.


The Institute for Social and Economic Research (ISER) at the University of Essex wishes to appoint a talented and ambitious survey methods researcher to work on a research project related to Understanding Society: the UK Household Longitudinal Study. Understanding Society is a major longitudinal survey initially covering 40,000 households across the UK and includes an Innovation Panel that is used for methodological development and testing ( The post is based in the survey methods research group at ISER and is part of a research project funded by the Nuffield Foundation.

One of the most promising avenues for empirical social science research involves linking administrative or process generated data with survey data. Administrative data (whether held by government or private entities) are useful on their own, but will be much more useful if we can use surveys to “fill the gaps”. Sometimes the gaps will be specific types of information, and sometimes it will be to provide a suitable frame to allow inference to the general population. In the UK, survey data can only be linked to administrative or other process generated data, if survey respondents give informed consent to the linkage. The aims of this project are to examine which factors influence the decision to consent and to develop and experimentally test ways of maximising informed consent, in particular in mixed mode surveys involving web data collection and when consent for linkages to multiple datasets are requested.

The appointment will be made as a Senior Research Officer.

Duties of the Role

The purpose of this role is provide support for a research project that aims to examine which factors influence the decision of survey respondents to consent to data linkage and to develop and test ways of maximising informed consent.

The successful candidate will collaborate with leading experts in survey methodology to produce and disseminate high quality research. The candidate will contribute to data analysis and writing of manuscripts for publication in academic journals, and could potentially lead on papers related to this work. They will also contribute to the development work for experiments, to monitoring fieldwork, and to preparing and documenting data collected for the project.

Qualifications and skills required

This post is open to applicants with a relevant doctoral level degree in survey methodology or quantitative social science or be close to completion of PhD; or a Master’s degree with a track record of academic publications in survey methodology or quantitative social science.

We are seeking an individual with strong quantitative analysis skills and a keen research interest in survey data collection methods. A combination of technical aptitude and good interpersonal skills is required, as is an ability to negotiate and co-ordinate activities with collaborators involved in the project. Computer literacy, including a proficiency with advanced statistical packages, such as Stata or R, excellent written and verbal communication (with a good standard of English) and organisational skills, the ability to work effectively in a team and to deadlines, accuracy and an eye for detail, as well as self-motivation and initiative are all essential qualities required of applicants.

This is a fixed-term post for 18 months or until 31 March 2020, the date on which the research grant ends. Part-time working will be considered at a minimum of 0.8 FTE.

Further details

To apply for the vacancy click on the ‘Apply Now’ button on the University of Essex job listing page.