Doctorat / PhD — Health, Wellbeing and Data Science: ESRC Welsh Graduate School for the Social Sciences (WGSSS) Health, Wellbeing and Data Science

Doctorat / PhD Profil chercheur : First Stage Researcher (R1) Type de contrat : Temporary Date limite de candidature : 6 Dec 2026 - 23:59 (Europe/London) Date de début : 1 Oct 2027 Programme UE : Not funded by a EU programme Département : Central Domaine : Other

Key Information Open to: UK and international applicants Funding Providers: ESRC Welsh Graduate School for the Social Sciences (WGSSS) Subject Area: Health, Wellbeing and Data Science Project Start Dates: October 2027 ** **In exceptional circumstances, and subject to the discretion of the University and/or the relevant funding body, a deferral of offer may be granted to the next available enrolment period. Such deferral will typically not exceed a duration of three calendar months from the originally stipulated commencement date. Please note that only one deferral may be considered, and any such deferral is not guaranteed . Supervisors: This studentship is an ‘open’ award. Applicants must approach a potential supervisor prior to submitting an application. This is to confirm that there is appropriate supervisory capacity within the University and to discuss their draft application of which the supervisor must complete a section. Information on the research interests of our staff can be found on the Swansea University webpages. Short descriptions of each accredited pathway are available on the ESRC WGSSS website. The Swansea-based representative for the pathway, Dr Arron Lacey , [email] might be able to advise you. Aligned programme of study: Health and Well-being and Data Science pathway, PhD WGSSS DTP Mode of study: Full or part-time study is possible. Please note that full-time ESRC WGSSS studentship award holders cannot hold either a full-time job, permanent part-time job or temporary role for an extended period, during the period of their award. Part-time ESRC WGSSS studentship award holders cannot hold a full-time job. Place of study: Swansea University (Singleton Campus) Swansea University (Bay Campus) Project description: The pathway combines observational, descriptive, and trials-based methods with large population-scale datasets to provide evidence on societies most pressing health challenges. Research informs evidence-based policy making to support people to make healthy lifestyle choices and/or to live better with illness and disability. More specifically, it examines the built and social environment and the impact that these have on multiple health and/or social outcomes. For example, a project may characterise the housing or school travel environment, and investigate the impact on injuries, mental health and educational outcomes; or shifting ageing and family-size demographics in relation to the epidemiology of chronic health conditions to address the pressing issue of the ‘care -gap’. Projects may use a range of methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand for suitably qualified doctoral researchers capable of applying a mix of methods to complex social science problems. If your application requires the use of data from the SAIL Databank you must register your proposed project with the SAIL Scoping team here: https://saildatabank.com/data/apply-to-work-with-the-data/ This scoping must be undertaken before you submit your application.

Key Information

Open to: UK and international applicants

Funding Providers: ESRC Welsh Graduate School for the Social Sciences (WGSSS)

Subject Area: Health, Wellbeing and Data Science

Project Start Dates: October 2027 **

**In exceptional circumstances, and subject to the discretion of the University and/or the relevant funding body, a deferral of offer may be granted to the next available enrolment period. Such deferral will typically not exceed a duration of three calendar months from the originally stipulated commencement date. Please note that only one deferral may be considered, and any such deferral is not guaranteed .

Supervisors:

This studentship is an ‘open’ award. Applicants must approach a potential supervisor prior to submitting an application. This is to confirm that there is appropriate supervisory capacity within the University and to discuss their draft application of which the supervisor must complete a section. Information on the research interests of our staff can be found on the Swansea University webpages. Short descriptions of each accredited pathway are available on the ESRC WGSSS website. The Swansea-based representative for the pathway, Dr Arron Lacey , [email] might be able to advise you.

Aligned programme of study: Health and Well-being and Data Science pathway, PhD WGSSS DTP

Mode of study: Full or part-time study is possible. Please note that full-time ESRC WGSSS studentship award holders cannot hold either a full-time job, permanent part-time job or temporary role for an extended period, during the period of their award. Part-time ESRC WGSSS studentship award holders cannot hold a full-time job.

Place of study:

Swansea University (Singleton Campus)

Swansea University (Bay Campus)

Project description:

The pathway combines observational, descriptive, and trials-based methods with large population-scale datasets to provide evidence on societies most pressing health challenges. Research informs evidence-based policy making to support people to make healthy lifestyle choices and/or to live better with illness and disability. More specifically, it examines the built and social environment and the impact that these have on multiple health and/or social outcomes. For example, a project may characterise the housing or school travel environment, and investigate the impact on injuries, mental health and educational outcomes; or shifting ageing and family-size demographics in relation to the epidemiology of chronic health conditions to address the pressing issue of the ‘care -gap’. Projects may use a range of methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand for suitably qualified doctoral researchers capable of applying a mix of methods to complex social science problems.

If your application requires the use of data from the SAIL Databank you must register your proposed project with the SAIL Scoping team here: https://saildatabank.com/data/apply-to-work-with-the-data/

This scoping must be undertaken before you submit your application.

Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/health-wellbeing-d…