Publisher
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Aston University

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Funded PhD in Smartwatch-Based Prediction of Asthma Attacks and Digital Health Alert Systems Aston University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD project for students worldwide. The post states it is a funded PhD project, but no stipend amount, tuition details, or exact funding package are provided.

Deadline

Sep 15, 2026

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Country

United Kingdom

University

Aston University

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Keywords

Computer Science
Data Science
Predictive Modeling
Wearable Technology
Digital Health
Medical Science
Asthma
Pharmacy
Salud Pública
Pharmacoepidemiology
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About this position

Funded PhD opportunity at Aston University in Birmingham, United Kingdom, focused on smartwatch-based prediction of asthma attacks and validation of a digital alert system for UK asthma care.

The project sits within ACEPOP and combines digital health, wearable technologies, health data science, predictive modelling, pharmacoepidemiology, and clinical research. The student will validate an asthma prediction algorithm originally developed using Fitbit devices and then evaluate it in the UK using Apple devices. A second stage will test whether smartwatch-based asthma risk alerts improve asthma management and clinical outcomes compared with standard care in a randomized controlled trial.

The PhD includes hands-on work in study protocol development, recruitment strategy, ethics and regulatory approvals, participant recruitment and follow-up, data collection, cleaning, management, and analysis. The project may also include literature reviews or methodological work where appropriate.

Supervision is provided by Dr Adrienne Chan, Professor Ian Wong, and Professor Maia Angelova at Aston University, with Associate Professor Amy Chan from the University of Auckland as external supervisor. The team brings expertise in pharmacoepidemiology, big data analytics, artificial intelligence, mathematical modelling, and asthma/digital health research.

This is a funded PhD project for students worldwide. The post does not specify stipend amount, tuition coverage, or a formal deadline beyond the listing date. Applicants should state their interest in asthma, digital health, wearable technologies, healthcare data, or predictive modelling, and describe how their background prepares them for the project.

Funding details

Funded PhD project for students worldwide. The post states it is a funded PhD project, but no stipend amount, tuition details, or exact funding package are provided.

What's required

Applicants should explain their interest in asthma, digital health, wearable technologies, healthcare data, or predictive modelling, and describe how their experience has prepared them to undertake the project. The project is suited to candidates interested in prospective observational research, pharmacoepidemiology, health data science, participant recruitment, study management, and clinical trial delivery. No specific degree classification, language test, or prior experience threshold is stated in the post.

How to apply

Register your interest through the FindAPhD enquiry form on the project page. Submit your details and application interest statement; the university will respond directly. In your application, briefly explain your relevant interest and experience in asthma, digital health, wearable technologies, healthcare data, or predictive modelling.

More information can be found here

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