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PhD Studentship in Parent-Infant Relationships University of York in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
The 3-year studentship provides a tax-free stipend at UKRI standard rates (currently £21,805 p.a. for 2026/27), plus annual tuition fees at the UK rate and £3,000 total research costs. UK citizens are eligible on a full-time basis; applicants from elsewhere may apply but must fund the difference between UK and international tuition fees. The studentship is not available part-time.
Deadline
Nov 20, 2026
Country
United Kingdom
University
University of York
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About this position
PhD Studentship in Parent-Infant Relationships at the University of York, Department of Health Sciences.
This fully funded PhD sits within the Family Wellbeing Team and the STRIVE programme, led by Professor Sarah Blower in partnership with colleagues from health and public health research groups. The project focus is on parent-infant relationships and related early-years constructs, with scope to investigate the quality and robustness of existing measurement tools, how tools are used in practice, novel approaches such as AI and machine learning for rating relationships, and how parent-infant relationship measures differ from parental mental health measures.
Candidates are expected to develop their own research questions and use a quantitative or mixed-methods approach. The successful student may access existing data sources including the Born in Bradford’s Better Start cohort, the E-SEE study, and clinical service data from the Me and My Baby questionnaire, with the option to propose other primary or secondary data collection.
Applicants should have at least a 2:1 degree in a relevant subject such as psychology, sociology, social sciences, health sciences, computational science, or a related area. A relevant master’s degree with quantitative modules is desirable, though not essential. An interest in early years research and in strengthening quantitative and/or mixed-methods skills is encouraged. For applicants whose first language is not English, IELTS 6.5 in each component and 7 overall is required.
Funding covers a tax-free stipend at UKRI standard rates (£21,805 p.a. for 2026/27), UK-rate tuition fees, and £3,000 research costs. The award is open to UK citizens on a full-time basis; international applicants may apply if they can fund the difference in tuition fees. The studentship is not available part-time.
Deadline: 20 November 2026 at 4pm. Interview date: 1 December 2026 (TBC). Start date: ideally January 2027, no later than March 2027.
Funding details
The 3-year studentship provides a tax-free stipend at UKRI standard rates (currently £21,805 p.a. for 2026/27), plus annual tuition fees at the UK rate and £3,000 total research costs. UK citizens are eligible on a full-time basis; applicants from elsewhere may apply but must fund the difference between UK and international tuition fees. The studentship is not available part-time.
What's required
Applicants should hold at least an upper second-class honours (2:1) degree or equivalent in a relevant subject such as psychology, sociology, social sciences, health sciences, computational science, or related fields. A relevant master's degree with quantitative modules is desirable but not essential. Candidates should have an interest in early years and/or parent-infant relationships, and an interest in building quantitative and/or mixed-methods research skills. Desirable experience includes work or personal experience supporting parents or working with families in a social care or health services context. Non-native English speakers must have IELTS 6.5 in each component and an overall score of 7.
How to apply
Submit an online application through the University of York Department of Health Sciences application portal. State that you are applying for the advertised studentship and include reference PHSSTRIVE2026 in the 'How studies will be funded' section. Prepare a short research proposal of up to 750 words and contact Prof Sarah Blower beforehand if you want to discuss ideas.
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