About the role
The Centre for Longitudinal Studies at UCL wishes 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”, known as Survey Futures.
Survey Futures is a collaboration between 11 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 nine 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 available until 30th June and will provide a fantastic opportunity for early career training.
Appointment at Grade 7 is dependent upon having been awarded a PhD. Candidates in the final stages of completing a PhD will initially be appointed at Research Assistant Grade 6B with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Candidates with no PhD who are not working towards submission of a PhD will be appointed at Research Assistant Grade 6.
About you
The appointed candidate will have a good understanding of Survey Methodology and experience of conducting quantitative analysis of complex survey data. You will conduct high quality research and contribute to writing up findings in peer-reviewed journals and presenting at conferences.
For appointment to Research Fellow you will have a PhD in quantitative social sciences. For appointment to Research Assistant you will have a post-graduate degree or equivalent professional qualifications and experience in quantitative social sciences.
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.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
1. 41 Days holiday: 27 days annual leave 8 bank holiday and 6 closure days (pro rata for part time staff)
2. Additional 5 days’ annual leave purchase scheme (pro rata for part time staff)
3. Defined benefit career average revalued earnings pension scheme (CARE)
4. Cycle to work scheme and season ticket loan
5. Immigration loan
6. Relocation scheme for certain posts
7. On-Site nursery
8. On-site gym
9. Enhanced maternity, paternity and adoption pay
10. Employee assistance programme: Staff Support Service
11. Discounted medical insurance