Publisher
source

University of Southampton

Top university

PhD in Developing Effective Interfaces for EMA Data Collection for Health Prediction and Treatment University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers covering the difference between overseas and UK fees for qualifying students, University of Southampton Presidential Bursaries covering the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a living-cost stipend for top-ranked applicants. Funding is awarded on a rolling basis.

Deadline

Mar 31, 2027

Country flag

Country

United Kingdom

University

University of Southampton

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Data Science
Psychology
Information Technology
Medicine
Artificial Intelligence
Human-computer Interaction
Software Engineering
Medical Science
Internet Of Things
Mobile Application Development

Suggested positions

About this position

PhD opportunity at the University of Southampton in Developing effective interfaces for Ecological Momentary Assessment (EMA) data collection to support prediction and treatment of health conditions in the community.

This project sits at the intersection of Human Computer Interaction, Artificial Intelligence, Data Science, Internet of Things, Medicine, and Software Engineering. The research aims to create more frictionless interfaces for EMA data capture, helping collect contextual health data with less intrusion and better engagement. The work will explore triggering contexts such as time, location, and other situational factors, and evaluate tools that support behavioural interventions, just-in-time intervention, and early identification of at-risk individuals.

Supervisor: Professor Mark Weal (University of Southampton).

Eligibility: applicants should hold a UK 2:1 honours degree or international equivalent in computer science or software engineering. Strong mobile development experience is essential. The advert also highlights desirable traits such as creativity, resilience, curiosity, and an interest in interdisciplinary research and publishing at a high level.

Funding: this is a competition-funded PhD project for students worldwide. Funding routes mentioned include Horizon Europe fee waivers, Presidential Bursaries, and school studentships that may cover UK-level tuition fees and provide a stipend for living costs for top-ranked applicants.

Location: Southampton, United Kingdom.

How to apply: submit an application via the University of Southampton system, selecting Research, 2027/28, Faculty of Engineering and Physical Sciences, and PhD Computer Science (7089). Include a research proposal, CV, two academic references, transcripts/certificates, and English language qualification if applicable. Add the supervisor name in section 2.

Deadline: 2027-03-31.

Funding details

Competition-funded PhD project for students worldwide. Funding opportunities include Horizon Europe fee waivers covering the difference between overseas and UK fees for qualifying students, University of Southampton Presidential Bursaries covering the difference between overseas and UK fees for top-ranked applicants, and school studentships that typically cover UK-level tuition fees plus a living-cost stipend for top-ranked applicants. Funding is awarded on a rolling basis.

What's required

Applicants must have a UK 2:1 honours degree or international equivalent in computer science or software engineering. Experience with mobile development is essential. Desirable qualities include being passionate and creative, methodical and resilient, and open and curious for interdisciplinary research.

How to apply

Apply through the University of Southampton postgraduate application system. Choose Research, 2027/28, Faculty of Engineering and Physical Sciences, then select full time or part time and search for PhD Computer Science (7089). Add the supervisor name in section 2 and include a research proposal, CV, two academic references, transcripts/certificates, and English language qualification if applicable.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?