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University Of Strathclyde

University of Strathclyde PhD Studentship

Fully Funded PhD in Educational Pathways, Social Mobility, and Labour Market Inequalities at University of Strathclyde University of Strathclyde in United Kingdom

Degree Level

PhD

Field of study

Education

Funding

Fully funded scholarship for 3 years covering all university tuition fees at UK level and an annual tax-free stipend. International students may apply, but they must secure additional funding to cover the difference between home and international tuition fees; exceptional international candidates may receive funding for this difference.

Deadline

Expired

Country flag

Country

United Kingdom

University

University Of Strathclyde

Ongoing program

University of Strathclyde PhD Studentship

by University of Strathclyde

Fully Funded
PhD
3 Years
United Kingdom

University of Strathclyde PhD Studentships support doctoral research at Strathclyde, typically covering UK-level tuition fees and a tax-free stipend for up to 3 years. International applicants may apply but often need extra funding for the fee difference.

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Keywords

Education
Sociology
Business
Social Science
Regression Analysis
Economics
Statistics
Social Stratification

About this position

Fully funded PhD opportunity at the University of Strathclyde in the Strathclyde Business School / Department of Work, Employment and Organisation.

The project is titled Do Educational Pathways Mitigate Social Class Inequalities in Early Labour Market Outcomes? Evidence from Growing Up in Scotland. It sits at the intersection of social mobility, social stratification, education, labour market transitions, and quantitative methods. The successful candidate will use data from Growing Up in Scotland to study how educational attainment and pathways shape early labour market outcomes and whether education reduces inequalities linked to social class background.

Supervision is led by Dr Michael Vallely, with Professor Patricia Findlay and Professor Markus Klein as additional supervisors.

This is a fully funded PhD studentship for 3 years, covering all university tuition fees at UK level plus an annual tax-free stipend. International applicants are welcome, but they must find additional funding for the difference between home and international tuition fees; exceptional international candidates may receive support for this gap.

Eligibility highlights include a first-class or upper second-class Honours degree and a Masters degree in a social science-related discipline, plus demonstrated competence in applied quantitative methods such as regression analysis. Desirable experience includes longitudinal datasets and software such as Stata or R. If English is not your first language, an IELTS 6.5 (or equivalent) with no element below 5.5 is required.

Applications open on 2026-03-12 and the deadline is 2026-04-30. Applicants should apply online and upload the required documents only: covering letter, CV, two academic referees’ contact details, certified transcripts, and English language evidence if applicable. Remember to include the scholarship title in the Field of Study section.

Funding details

Fully funded scholarship for 3 years covering all university tuition fees at UK level and an annual tax-free stipend. International students may apply, but they must secure additional funding to cover the difference between home and international tuition fees; exceptional international candidates may receive funding for this difference.

What's required

Applicants should have a first-class or upper second-class Honours degree (or overseas equivalent) in a social science-related discipline and a Masters degree in a social science-related discipline. They should demonstrate competence in applied quantitative methods, including regression analysis, through coursework, a quantitative dissertation/project, or equivalent research experience, and have a substantive interest in social inequality, education, and labour market research. Desirable experience includes working with longitudinal datasets and familiarity with statistical software such as Stata or R. If English is not the first language, an IELTS score of 6.5 or equivalent is required with no individual element below 5.5. Applicants must provide a covering letter, CV, contact details of two academic referees, certified academic transcripts, and evidence of English language qualifications if previously obtained.

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Professors

Professor at University of Strathclyde

University Name
Country flag

United Kingdom

Research Interests

Statistics

Education

Sociology

Social Science

Regression Analysis

Professor at University of Strathclyde

University Name
Country flag

United Kingdom

Research Interests

Educational Psychology

Early Childhood Education

Education

Student Achievement

Regression Analysis