About this role
This post is initially funded until 31 July 2027
ABOUT US
About UCL Institute of Education
Founded in 1902, UCL Institute of Education 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.
CTUR specialises in finding innovative applications for population time-use diary evidence in fields such as happiness, public health, transport, energy and environmental sustainability. It investigates social life, paid work patterns, work-life balance, family, gender and socio-economic structure. It contributes its expertise to a range of national and international agencies, currently including the UK Office of National Statistics, the UK Economic Statistics Centre of Excellence, the International Labour Organisation and the OECD.
CTUR is now funded, within UCL’s Social Research Institute, until 2027, by ESRC project Next Steps in Time Use Research (NeSTUR),
ABOUT THE ROLE
The Centre for Time Use Research (CTUR) is looking to appoint a Research Fellow. The successful candidate will take a leading role in the incorporation of new time diary datasets under the guidance of the MTUS manager. The appointee will focus particularly on surveys from low- and middle-income countries, and on extending the MTUS activity classification as required for these materials.
The appointee will work gaining access to survey materials from the Pacific Rim, leading the harmonisation of Chinese and other Asian datasets into MTUS format, and if appropriate working with the Asian counterparts to set up a remote access arrangement for external users.
It is expected that you will already have experience in time use research, as well as specific experience of work in this geographical region.
This post is initially funded until 31 July 2027
Job-share may be considered.
ABOUT YOU
You are an early-career researcher with a PhD (or close to completion) in a relevant discipline such as sociology, demography, economics, statistics, public policy, or a related field.
You have experience working with time-use surveys and a solid understanding of quantitative research methods. You are comfortable working with large datasets and using statistical software such as R, Stata, Python, or equivalent for data preparation and analysis.
You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers, reports, and presentations. You are able to work both independently and as part of a collaborative research team, and you are motivated to contribute to high-quality, policy-relevant research.
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.