PhD Studentship: Tracking Diet and Women's Health with AI and Smartphones
Investigate the relationship between diet, mental health, and women's health using smart technology and AI.
Best for:Best for aspiring researchers with a background in psychology, health sciences, or computer science interested in digital health and women's wellbeing.
Overview
The University of Exeter invites applications for a fully-funded four-year PhD studentship focusing on women's health, behavior change, and digital health technologies. Operating within the Psychology department as part of the GW4 BioMed3 Doctoral Landscape Programme, the successful candidate will examine the interplay between dietary habits, mental well-being, premenstrual syndrome (PMS), and perimenopausal symptoms. The project integrates cutting-edge smart technology and AI-driven food tracking applications to evaluate dietary impacts on physiological and psychological symptoms. Candidates will receive comprehensive research training and develop specialized skills applicable to the FemTech and digital health industries.
What you'll do
- Design and execute empirical studies investigating the links between diet, mental health, and women's health symptoms.
- Utilize smart technology and AI-based applications to monitor and analyze dietary patterns.
- Collect and evaluate quantitative and qualitative data regarding premenstrual and perimenopausal experiences.
- Collaborate with interdisciplinary teams across the GW4 BioMed3 partnership.
- Disseminate research findings through academic publications and scientific conferences.
- Engage in professional development and advanced research training provided by the doctoral programme.
Requirements
Degree required: BSc or equivalent in Psychology, Health Sciences, Computer Science, or a related discipline
Degree offered: PhD
Language: English
Instruction: English
- Strong background in psychology, health sciences, or computational approaches to health
- Demonstrated interest in women's health and behavior change
- Quantitative or qualitative research data analysis skills
- Ability to work independently and collaboratively within an interdisciplinary network
- Open to UK and International students
Funding & terms
How to apply
Deadline: 2026-10-21
Review the project details and ensure eligibility requirements are met. Submit your application through the official University of Exeter funding application portal using the provided external link.
- CV
- Cover letter
- Academic transcripts
- Reference letters
Contact
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