Research Fellow

2 weeks ago

London, United Kingdom University College London Full time

**Ref Number**

B16-01334

**Professional Expertise**

Research and Research Support

**Department**

School of Education (B16)

**Location**

London

**Working Pattern**

Full time

**Salary**

£40,524 - £48,763

**Contract Type**

Fixed-term

**Working Type**

Hybrid (20% - 80% on site)

**Available For Secondment**

No

**Closing Date**

28-Aug-2023

**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. We embrace collaboration and excellence to create a future that is inclusive and just, and have been ranked number one for education every year since 2014 in the QS World University Rankings by Subject.

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)

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).

CLS has a wide set of collaborative links across UCL, UK and internationally, including a close collaboration with the MRC Unit for Lifelong Health and Ageing in the Faculty of Population Health Sciences in UCL, which leads the 1946 National Survey of Health and Development (NSHD), the oldest of the UK’s national birth cohort studies.

The cohort studies follow individuals throughout their lives. They involve multiple surveys, together with other specialised forms of data collection (for example physical measurements and biological samples), and linkages to administrative records. The information collected is broad, covering areas as diverse as education, employment, and income, family and parenting, physical and mental health, and social attitudes.

**About the role**:
We are looking to appoint a talented and ambitious quantitative researcher as a Research Fellow to provide research input to the ESRC-funded project “Survey Data Collection Methods Collaboration: Securing the Future of Social Surveys”, to be known as _Survey Futures_.
- Survey Futures_ is a collaboration between nine universities and three survey organisations, in partnership with the National Centre for Research Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step-change in survey research to ensure that it will remain possible in the UK to carry out high-quality social surveys of the kinds required by the public and academic sectors. The Director of the collaboration is Professor Peter Lynn (ISER, University of Essex) and the Deputy Director is Dr. Olga Maslovskaya (University of Southampton).
- Survey Futures_ aims to assess the quality implications of the most important survey design choices relevant to future UK social surveys, to provide good practice guidance and practical training materials, and to identify promising ways to improve the capacity and skillset of both interviewers and research professionals.

This post will contribute to two of seven Survey Futures research strands, on ‘Video Interviewing and on ‘Complex Measurement in Self-completion Surveys’ and to training and capacity building and other activities of the collaboration. The post requires an understanding of survey methods and statistics, and a commitment to rigorous evaluation and to effective dissemination.

You will contribute to outputs including publications in peer-reviewed journals and to dissemination via national and international conferences and other relevant events.

The role will involve close collaboration with other CLS researchers and those from other institutions involved in the Survey Futures collaboration.

The post is funded from 1st October 2023 to 31st March 2026 in the first instance.

**About you**:
You will have a post-graduate degree or equivalent professional qualifications and experience in quantitative social sciences, along with an understanding and knowledge of Survey Methodology.

You will also have experience of undertaking advanced quantitative analysis using large-scale complex survey data and experience of data management, statistical analysis and programming in Stata, R or similar software package.

**It is important that the criteria are clearly numbered and that you provide a response to each one.**

**What we offer**:
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:

- 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
- Addi

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