This study aims to systematically examine the key determinants, and their interrelations, over differential health-related well-being in urban neighbourhoods from a human-environment perspective. The study will greatly benefit from gaining access to different geo-referenced health datasets provided by the collaborative partner and fostering inter-disciplinary research between planning academics and public health practitioners. The research will address two main questions: how can we understand the spatially variated patterns of health related well-being across different neighbourhoods; and how different dimensions of determinants are interrelated and impact on health-related well-being of residents in different neighbourhoods?
The study will involve the processing and linkage of different routinely collected NHS health data, small area data in relation to the socio-economic contexts, as well as spatial data in relation to the built environment and different environmental conditions. This will involve major GIS data processing and linkage to integrate different large-scale datasets with different data structure into a multi-scalar spatial dataset for mapping visualisation analysis and multi-level spatial modelling.
Person specification
Candidates would be expected to have strong analytical skills and knowledge and experience in quantitative and geospatial data analysis from diverse sources in relation to health (e.g. Clinical Practice Research Datalink), social (e.g. Index of Multiple Deprivation and Census Small Area Data), built environment (e.g. built-up area boundaries, traffic and road data and public amenities data) and environmental (e.g. Defra’s modelled air quality datasets) issues, acquired through relevant postgraduate training (e.g. in spatial planning, geography, public health or data science). Additional research training will be available to support further development and expertise in key analytical elements (e.g. ‘big data’ analysis, multivariate statistical and visualisation techniques). Applicants with knowledge of public health and planning policies and data sources would be particularly welcome.
Eligibility criteria
Academic:
In the majority of cases, eligible candidates will have undertaken an undergraduate course and/or Master’s course at a recognised higher education institution and will have achieved a minimum of Bachelor’s at 2.1 plus Master’s at Merit.
English language:
Candidates whose first language is not English require one of the following:
· IELTS test minimum scores - 7 overall, 7 writing, 6 other sections
· TOEFL (internet based) test minimum scores - 100 overall, 25 writing, 22 other sections
· Pearson Test of English (PTE) minimum scores - 66 overall, 66 writing, 59 other sections
Application procedure
The application deadline will be Midnight (GMT) 27/02/2023. All supporting documents must be received by the deadline and sent as a zip file to [Email Address Removed], using ‘Health-related well-being CASE PhD’ as the email subject.
The application must include:
· Full CV, including a breakdown of your grades to date.
· Personal statement of maximum 700 words indicating why you would like to undertake this studentship and explaining how your focus, experience, and skills link to the research outlined above.
· Example of a piece of academic writing produced by the applicant of up to 5,000 words (applicants may consider submitting two shorter pieces if these deal separately with conceptual and empirical analyses). This may be an academic essay or chapter(s) from a dissertation, in which case, an abstract or introduction outlining the context/aims/research questions of the study must also be included
· Names and contact details of two academic referees who can comment on the applicant’s suitability for PhD study and to undertake the advertised project.
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