professor profile picture

Simon Dymond

Professor at Research, Engagement & Innovation Services

Swansea University

Country flag

United Kingdom

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Statistics

20%

Psychology

20%

Salud Pública

20%

Medical Science

20%

Sociology

20%

Wellness

20%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions2

Publisher
source

Andrew Hadon Kemp

University Name
.

Swansea University

Health and Well-being and Data Science: WGSSS Studentship – Linked Whole-Population Data Approach to Understanding Wellbeing and Inequalities

The Faculty of Medicine, Health and Life Sciences at Swansea University is offering a fully funded Welsh Graduate School for the Social Sciences (WGSSS) (ESRC DTP) studentship in the Health and Well-being and Data Science pathway, commencing October 2026. This PhD project is embedded within statutory partnerships and aims to strengthen population-level evidence for Population Needs Assessments (PNAs) in West Glamorgan, Wales. PNAs are a statutory requirement under the Social Services and Wellbeing (Wales) Act 2014 and provide the primary evidence base for regional planning, service transformation, and commissioning across health, social care, and wider wellbeing systems. The project builds on a decade of interdisciplinary research led by Professor Andrew Hadon Kemp and Dr Zoe Fisher, conceptualizing wellbeing through connections to self, others, and nature. It aligns with the preventative, place-based, and long-term principles of the Well-being of Future Generations (Wales) Act. The research will leverage the Secure Anonymised Information Linkage (SAIL) Databank to securely link anonymised population data across health, education, social care, and administrative systems, enabling life-course, family-level, and spatial analyses that incorporate wider determinants of wellbeing, including local environments and access to nature. The PhD aims to develop and apply a theoretically informed, life-course framework for understanding population wellbeing and its determinants using linked administrative and survey data. It will generate evidence to inform service transformation and commissioning within the West Glamorgan PNA, with particular attention to inequalities across communities and comparisons with regional, national, or international data where comparable indicators exist. Research questions include: how theory can inform interpretation of wellbeing, mental health, and need across the life course using linked population data; what inequalities in wellbeing, mental health, and service use exist across West Glamorgan and how these vary by place, deprivation, and access to local environments; how adult wellbeing and service use intersect with physical health, socioeconomic disadvantage, and family context; what intergenerational relationships can be observed between parental mental health and children’s wellbeing; and how evidence on place-based determinants, including access to nature, can support statutory boards in meeting duties for prevention and long-term wellbeing. Methods will include descriptive mapping, regression and multilevel modelling, family-level and spatial analyses, and exploratory data-driven approaches, guided by explicit theoretical frameworks. Analyses will combine longitudinal and cross-sectional approaches as appropriate. Findings will inform the West Glamorgan PNA and enable comparisons with regional, national, or international wellbeing indicators. Eligibility: Applicants must have qualifications or experience equivalent to a UK honours degree at a first or upper second-class level, or a master's degree. Students with non-traditional academic backgrounds are welcome. International and European applicants should check their qualifications against published entry requirements. Both full-time and part-time applications are accepted. The studentship funded by the ESRC covers tuition fees, an annual tax-free living stipend (£20,780 for 2025-26 full-time), and access to a Research Training Support Grant. Disabled Students’ Allowance (DSA) may be available. Application deadline is May 8, 2026. For questions regarding eligibility, contact [email protected]. Apply online via the provided FindAPhD link.

1 month ago

Publisher
source

Andrew Kemp

University Name
.

Swansea University

Fully Funded PhD Studentship in Health, Well-being and Data Science (Wellbeing and Inequalities)

Fully funded PhD studentship at Swansea University within the Welsh Graduate School for the Social Sciences (WGSSS) / ESRC DTP pathway in Health, Well-being and Data Science . The project is titled A Linked Whole-Population Data Approach to Understanding Wellbeing and Inequalities (RS952) and is based at Swansea University’s Singleton Campus. This is a data-intensive doctoral project for candidates interested in public health , psychology , statistics , social science , and data science . The research uses linked, anonymised population data from the SAIL Databank to study wellbeing, mental health, inequalities, service use, and the social, environmental, and behavioural determinants of health across the life course. The project also explores place-based and nature-informed approaches to wellbeing and climate adaptation. Supervision is by Andrew Kemp , Simon Dymond , Kyle Jones , and Zoe Fisher . The project is embedded in statutory and regional partnerships in West Glamorgan and aims to generate policy-relevant evidence for population needs assessments, service transformation, and commissioning. Funding includes full tuition fees , an annual tax-free stipend of around £20,780 , and a Research Training Support Grant . International students are eligible, and the fee difference between UK and international rates is covered. Full-time and part-time study are available, with the PhD starting in October 2026 . Entry requirements include a UK first-class or upper second-class honours degree, or a master’s degree, or equivalent experience. Strong quantitative skills are preferred, especially experience with statistical modelling, programming in R or Python, and large or complex datasets. Applications must be submitted online using the scholarship code RS952 . Applicants should follow the specific instructions in the advert, including leaving the supervisor field blank and selecting scholarship funding only. The closing date is 8 May 2026 .

1 month ago