Poverty of Aspiration? A Comparative Analysis of Educational and Occupational Aspirations of Teenagers in Three British Birth Cohort Studies at University of Edinburgh on FindAPhD.com

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities

Dr Roxanne Connelly No more applications being accepted Funded PhD Project (Students Worldwide)

Edinburgh United Kingdom Applied Statistics Data Analysis Further Education Gender Studies Higher Education Education Sociology Public Policy Socio Economics

About the Project

This doctoral project will make use of three large-scale nationally representative ESRC funded longitudinal datasets to undertake advanced statistical analyses of teenager’s educational and occupational aspirations. The 2000/02 UK Millennium Cohort Study (MCS), the 1970 British Cohort Study (BCS), and the 1958 National Child Development Study (NCDS) will be analysed.

Aspirations for education and work have come to be considered as important influences on young peoples’ outcomes. Furthermore it is suggested that raising the aspirations of marginalised young people could reduce social and economic inequalities. Aspirational patterns have been previously studied using the three cohort studies individually.

The proposed project has two innovations:

It will study aspirational patterns in the MCS in a comparative framework that incorporates analyses of the older cohorts (the BCS and NCDS), in order to better understand underlying processes and longer term trends in educational and occupational aspirations.
It will extend current analyses of aspirations using the MCS by fully exploiting both the longitudinal nature of the data and the rich array of sociologically informed measures available.

Eligibility:

Applicants must meet the following eligibility criteria:

Applicants will have a first degree (undergraduate) at 2:1 or above and have a demonstrable interest in the topic area under investigation.
Applicants can have a Masters degree, however this is not a requirement.
Applicants can study part-time or full-time.

Other eligibility criteria:

Students should either have prior experience with quantitative data analysis, or a desire to develop specialist skills in quantitative data analysis.

Selection Process:

Applications will be ranked by an internal institutional selection panel, and you will be notified if you have been shortlisted for interview on or around TBC. Interviews will take place on 4^th May 2023.

This studentship award is subject to the successful candidate securing admission to a PhD programme within the University of Edinburgh. The successful candidate will be invited to apply for admission to the relevant PhD programme.

If you are interested in applying to the listed PhD studentship, please visit the site below, select the PhD studentship your are interested in and follow the further instructions provided under the "How to Apply" section.

https://www.sgsss.ac.uk/studentships/current-opportunities/

Funding Notes

The scholarship is available as a +3 (3 year PhD) or a 1+3 (Masters year and 3 year PhD) studentship depending on prior research training. This will be assessed as part of the recruitment process, however you can access guidance here to help you decide on which to apply for. The programme will commence in October 2023. The full ESRC studentship package includes, as advised by ESRC:
• An annual maintenance grant (stipend)
• Fees at the standard institutional home rate
• Students can also draw on a pooled Research Training Support Grant (RTSG)

Where will I study?

University of Edinburgh

One of the world''s top universities, consistently ranked in the world top 50 and placed 20th in the QS World University Rankings 2020. We provide a stimulating working, learning and teaching environment with access to excellent facilities and attract the world''s best, from Nobel Prize winning laureates to future explorers, pioneers and inventors.