Publisher
source

Huseyin Dogan

2 weeks ago

Fully Funded PhD in Accessible Maternity Services, AI, and Healthcare Equity Bournemouth University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD studentship.

Deadline

Sep 7, 2026

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Country

United Kingdom

University

Bournemouth University

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Keywords

Computer Science
Psychology
Information Technology
Artificial Intelligence
Health Disparities
Digital Health
Medical Science
Salud Pública
Accessibility
Maternity Care
Methodologie

About this position

Fully funded PhD opportunity in Accessible Maternity Services, AI, Digital Health, and Healthcare Equity at Bournemouth University through the NIHR Maternity Disparities Consortium.

The project, titled “Accessible Maternity: An AI-Powered Framework for Disadvantaged Communities” (code D1.1_Bournemouth), aims to develop an evidence-based framework and an AI-powered digital toolkit to improve access to maternity services and support self-care and healthcare navigation.

Research themes include digital health, artificial intelligence, healthcare disparities, accessibility, lived experience synthesis, and interdisciplinary methodology. The project is especially relevant to pregnant women with disabilities (including visual impairment, deafness, and neurodivergence), migrant and ethnic minority groups, and people living in socioeconomically deprived areas.

This is a fully funded PhD studentship. The post does not list detailed entry requirements in the text provided, but it clearly invites applicants interested in meaningful, applied research on health inequalities and maternity care.

Deadline: 5:00 PM, Monday 7 September 2026.

How to apply: Follow the application link in the post, review the project page, and submit your application before the deadline. Use the consortium page for more information about the studentship and project code.

Funding details

Fully funded PhD studentship.

What's required

Applicants should be passionate about interdisciplinary research at the intersection of digital health, AI, healthcare disparities, accessibility, and maternity care. The post highlights interest in candidates who want to work with lived experience synthesis and develop evidence-based digital tools for disadvantaged communities. No specific degree, grade, or test requirements are stated in the post.

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