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University of Southampton

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PhD and MSc+PhD Opportunities in Social Demography, Global Health, and Statistical Methodology at University of Southampton University of Southampton in United Kingdom

PhD and MSc+PhD Opportunities in Social Demography, Global Health, and Statistical Methodology at University of Southampton

University of Southampton

United Kingdom

Jan 16, 2026

Keywords

Public Health
Sociology
Demography
Social Science
Global Health
Sociodemography
Statistics

Description

The Department of Social Statistics and Demography at the University of Southampton invites applications for fully funded PhD and MSc+PhD studentships through the South Coast Doctoral Training Partnership (SCDTP). The department offers supervision across a broad spectrum of demographic research, including family and social demography, global health, migration modelling, and advanced statistical methodology applied to social sciences and official statistics. Research themes include population change, fertility, migration, health and mortality, and the development of statistical methods for social science data. The SCDTP is a collaboration between the Universities of Southampton, Brighton, Portsmouth, and Chichester, funded by the Economic and Social Research Council. It awards a minimum of 34 studentships per year to social scientists pursuing PhD or combined MSc+PhD studies. The University of Southampton hosts several research centres of excellence, such as the National Centre for Research Methods and the Centre for Population Change, providing a vibrant academic environment for interdisciplinary research and advanced quantitative training. Available studentships include 1+3.5 MSc+PhD, +3.5 PhD, and +4.5 interdisciplinary awards, all featuring a Research-in-Practice placement. The programme emphasizes student-centred postgraduate training, advanced quantitative skills, and engagement with ESRC-funded resources. Applicants interested in distance learning are not eligible for funding, but may contact Dr Liliana Andriano for alternative options. Prospective students should have a strong academic background relevant to social demography, global health, migration modelling, or statistical methodology. The department encourages candidates to review its research areas and contact potential supervisors for guidance. The application deadline for the 2026/27 academic year is 16:00 GMT on 16th January 2026. For further details, visit the South Coast DTP website or contact Dr Liliana Andriano at [email protected]. Key research groups and centres include the Centre for Population Change, Gender and Inequalities Centre, Global Health Community of Practice, National Centre for Research Methods, and the Statistical Sciences Research Institute. The department's research impacts policy and practice in areas such as fertility forecasting, climate and health solutions, population distribution mapping, maternal and neonatal health, and survey methodology. For more information on the department's work and to identify relevant supervisors, visit the department's website and the supervisor directory. This opportunity is ideal for students seeking to advance their expertise in social demography, global health, and statistical methodology within a leading UK research environment.

Funding

Fully funded studentships are available through the South Coast Doctoral Training Partnership (SCDTP), supported by the Economic and Social Research Council. Funding covers tuition fees and provides a stipend. A minimum of 34 studentships are awarded annually across four partner institutions.

How to apply

Apply via the South Coast DTP website. Review department research areas and identify a relevant supervisor. Contact Dr Liliana Andriano or a chosen supervisor for inquiries. Submit your application before 16:00 GMT on 16th January 2026.

Requirements

Applicants must have a strong academic background suitable for doctoral research in social demography, global health, migration modelling, or statistical methodology applied to social sciences. Candidates may apply for 1+3.5 MSc+PhD, +3.5 PhD, or +4.5 interdisciplinary awards. Distance learning students are not eligible for funding. Specific entry requirements may vary by supervisor and project; applicants should consult the department or individual supervisors for details.

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