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University of Bristol

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PhD in Cycles, Signals and Causality for Digital Health Data Analysis Across Menstrual Cycles University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD studentship through the GW4 BioMed3 MRC Doctoral Landscape Programme. Covers UK tuition fees and a Doctoral Stipend matching the UK Research Council National Minimum (£21,805 p.a. for 2026/27, updated annually). Additional research training and support funding of up to £5,000 per annum is available. International candidates are fully funded for the tuition difference but must cover visa, healthcare surcharge, and moving costs.

Deadline

Oct 21, 2026

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Country

United Kingdom

University

University of Bristol

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Keywords

Computer Science
Data Science
Epidemiology
Mathematics
Medical Statistics
Digital Health
Medical Science
Causal Inference
Salud Pública
Statistics
Menstrual Cycle

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About this position

PhD opportunity at the University of Bristol in digital health, statistics, data science, epidemiology, medical statistics, computer science, and mathematics.

This funded PhD project, titled “Cycles, signals and causality: Exploring methods for robust analysis of digital health data across menstrual cycles”, is part of the GW4 BioMed3 MRC Doctoral Landscape Programme. The project is supervised by Dr Louise Millard at the University of Bristol and focuses on CycleTrack menstrual health data collected across multiple cycles.

The research will examine potential biases in analysing complex digital health datasets and develop methods to mitigate them. Planned work includes characterising variability across the menstrual cycle, building prediction models using smartwatch and cycle data, estimating causal effects between menstrual symptoms and outcomes, and undertaking N-of-1 studies and personalised prediction modelling.

Funding: UK tuition fees plus a doctoral stipend matching the UK Research Council National Minimum (£21,805 p.a. for 2026/27), with up to £5,000 per year in additional research training and support funding. International applicants are eligible; the programme covers the tuition fee difference, though visa and healthcare surcharge costs remain the student’s responsibility.

Eligibility: Applicants should have, or be about to obtain, a first or upper second-class honours degree (or equivalent) in medical sciences, computing, mathematics, or the physical sciences. A lower second-class degree may be considered with a relevant master’s degree. English language requirements of the host university must be met by the start date.

Application window: Applications open on 9 September 2026 and close at 5:00 pm on 21 October 2026. Shortlisted candidates are notified from 22 December 2026, interviews are held virtually on 26–27 January 2027, and the studentship starts on 1 October 2027.

How to apply: Submit one application via the GW4 BioMed website and select up to two projects. Complete the online application form for an “offer of funding,” then later apply for an “offer to study” at the chosen institution if successful.

Funding details

Funded PhD studentship through the GW4 BioMed3 MRC Doctoral Landscape Programme. Covers UK tuition fees and a Doctoral Stipend matching the UK Research Council National Minimum (£21,805 p.a. for 2026/27, updated annually). Additional research training and support funding of up to £5,000 per annum is available. International candidates are fully funded for the tuition difference but must cover visa, healthcare surcharge, and moving costs.

What's required

Applicants must have obtained, or be about to obtain, a first or upper second-class UK honours degree or equivalent in an appropriate area of medical sciences, computing, mathematics or the physical sciences. A lower second-class degree may be considered only if the applicant also has a master’s degree (Merit at the University of Bath). Relevant non-academic experience may also be considered. International applicants must meet the English language requirements of the host university by the start of the programme.

How to apply

Apply via the GW4 BioMed website and complete the online application form linked there. You may select up to two projects and submit one application only. If shortlisted, you will later need to apply for an offer to study at your chosen institution.

More information can be found here

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