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University of St Andrews

St Andrews–Max Planck PhD Studentship in Population, Health and Data Science University of St Andrews in United Kingdom

Degree Level

PhD

Field of study

Data Science

Funding

3.5-year funded PhD studentship. During the first 21 months in Germany, the student receives a contract currently amounting to about €40,000 gross per year including an annual bonus, plus financial support for travel, research training, and data acquisition. During the UK period, the studentship provides a maintenance grant at the St Andrews stipend rate currently £19,775 per year (2026/27 rate may increase), a £750 per year research training support grant, and full tuition fee waiver.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of St Andrews

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Keywords

Data Science
Sociology
Mathematics
Demography
Geography
Adolescent Development
Population Health
Social Determinants Of Health
Salud Pública
Emerging Adulthood
Statistics
Statistical Modelling

About this position

St Andrews–Max Planck PhD Studentship in Population, Health and Data Science is open for a highly motivated PhD candidate interested in population health, data science, demography, geography, statistics, and quantitative social science.

The project examines the social and environmental determinants of health and socio-economic outcomes in adolescence and emerging adulthood. It uses a life-course approach to study how adverse socio-economic exposures accumulate or act during sensitive periods and shape outcomes in young adulthood across housing, family formation, education, and health. The research will use advanced quantitative methods to explore individual-level and structural/area-level determinants of inequality, including regional variation.

The studentship is jointly funded by the University of St Andrews and the Max Planck Institute for Demographic Research (MPIDR). The student will spend the first 21 months at MPIDR in Rostock, Germany, and the remainder at the University of St Andrews, joining the Population and Health Research Group in the School of Geography and Sustainable Development. The project is also linked to the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS), the Centre for Population Change & Connecting Generations, and the Max Planck–University of Helsinki Center for Social Inequalities in Population Health.

Funding includes a gross salary of about €40,000 per year during the Germany period, plus travel, research training, and data acquisition support. In the UK period, the award provides a maintenance grant at the St Andrews stipend rate (currently £19,775 per year), a £750 annual research training support grant, and a full tuition fee waiver.

Eligibility: applicants should hold an excellent master’s degree (distinction or merit in the UK) or equivalent qualification in social sciences, statistics, or applied mathematics. Applicants must submit a personal statement and an academic writing sample. Shortlisted candidates will be interviewed in the second half of June. Deadline: 8 June 2026.

Funding details

3.5-year funded PhD studentship. During the first 21 months in Germany, the student receives a contract currently amounting to about €40,000 gross per year including an annual bonus, plus financial support for travel, research training, and data acquisition. During the UK period, the studentship provides a maintenance grant at the St Andrews stipend rate currently £19,775 per year (2026/27 rate may increase), a £750 per year research training support grant, and full tuition fee waiver.

What's required

Applicants should have an excellent master’s degree (distinction or merit in the UK) or equivalent national qualification in any area of social sciences, including statistics and applied mathematics. Candidates should be interested in applying advanced quantitative methods to population research and must submit a personal statement and an academic writing sample (normally a chapter of a Masters dissertation).

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Professors

Prof.

University Name
Country flag

United Kingdom

Research Interests

Statistics

Sociology

Salud Pública

Data Science

Demography

Prof.

University Name
Country flag

United Kingdom

Research Interests

Statistics

Data Science

Statistical Modelling

Salud Pública

Population Health