Research Fellow Senior Research Fellow - London, United Kingdom - University College London

Tom O´Connor

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Tom O´Connor

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Description

Ref Number
B


Professional Expertise
Research and Research Support


Department
School of Education (B16)


Location
London


Working Pattern
Full time


Salary
£48,614 - £57,041


Contract Type
Permanent


Working Type
Hybrid (20% - 80% on site)


Available For Secondment
No


Closing Date
12-Apr-2023


About us:

About IOE

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 Social Research Institute is one of the leading centres for social research in the UK.

It is home to seven internationally renowned research units:


  • Centre for Longitudinal Studies
  • Centre for Time Use Research
  • CLOSER
  • EPPI-Centre
  • Quantitative Social Science
  • Social Science Research Unit
  • Thomas Coram Research Unit


All of our centres are multidisciplinary, with staff drawn variously from economics, sociology, social policy, demography, psychology, anthropology and social statistics.

We promote problem-solving interdisciplinary research on particular themes where we have outstanding scholarship and critical mass, e.g. gender, families, work, inequalities, migration, bio-social interactions.

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).


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.


About the role:


An important area of work for CLS is to enact linkages for research in each of the four CLS cohorts, including of health, economic, education, and criminal justice administrative records, and geo-environmental data; to conduct research on the linked data; and to make them available for use by the wider research community, via onward sharing of the data.


We are seeking to appoint an outstanding quantitative researcher to undertake research across multiple cohort studies and linked administrative and geo-environmental data sets.

The job provides a unique opportunity to conduct substantive research on a range of administrative and geo-environmental data sets that have already been linked to the four cohort studies managed by CLS.


The role will also involve conducting methodological work including assessing linked data quality in terms of match rates and variables, making improvements where necessary in order to ensure the linked data sets and accompanying documentation are suitable for research use by the wider research community.


This role will provide a fantastic opportunity for early career training and involves collaborations with leading researchers and access to globally unique data resources.

The post is available until 31st March 2025 in the first instance.


About you:


You will have a PhD or equivalent experience in a relevant discipline (or in the process of completing) such as quantitative social science (psychology, sociology, economics, demography), epidemiology and knowledge of quantitative methods appropriate to longitudinal survey data and large, linked administrative data sets.


You will also have excellent written and verbal communication, including documenting work and communicating technical and/ or scientific information to a wide range of scientific and lay audiences.


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)
  • Additional 5 days' annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • Immigration loan
  • Relocation scheme for certain posts
  • On-Site nursery
  • Onsite gym
  • Enhanced maternity,

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