This project is no longer listed on FindAPhD.com and may not be available.
Click here to search FindAPhD.com for PhD studentship opportunitiesAbout the Project
This PhD Studentship will examine issues in adult social care for specific groups
A study, using realist methodologies, establishing the context, outcome and mechanisms required for an effective and appropriate peer buddy system for older adults in prison. This will be informed by the research team’s previous work on developing models of social care in prison and will include learning from community and current prison practice. The findings will inform the development of an initial programme theory, logic model and intervention delivery platform (manual, supervision manual and training). ‘Walk through’ interviews and coproduction workshops will also be used to refine and customise the model for different criminal justice settings. Realist informed qualitative analysis strategies will be used.
Applicants are expected to hold (or about to obtain) a minimum upper second class undergraduate honours degree (or equivalent) in social sciences (including criminology, sociology) or social work. A Masters degree in a relevant subject and/or experience in social care/social work is desirable.
For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (https://www.bmh.manchester.ac.uk/study/research/apply/). Interested candidates must first make contact with the Primary Supervisor prior to submitting a formal application, to discuss their interest and suitability for the project. On the online application form select PhD Social Work
Funding Notes

Search suggestions
Based on your current searches we recommend the following search filters.
Check out our other PhDs in Manchester, United Kingdom
Start a New search with our database of over 4,000 PhDs

PhD suggestions
Based on your current search criteria we thought you might be interested in these.
Peer-sourcing AI agents for future network autonomy
University of York
Carer and family involvement in decision making around medicines use within virtual ward settings
Newcastle University
GTA Funded - AI Driven Physics Informed Digital Twins
University of Leicester