Publisher
source

University of Ulster

PhD in Computing: Managing Cognitive Fatigue using Passive Sensing and Adaptive Interventions Ulster University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD project covering all tuition fees, a living allowance of approximately £22,000 per year, and a research support grant. Open worldwide regardless of residency or domicile.

Deadline

Jan 8, 2027

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Country

United Kingdom

University

University of Ulster

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Neuropsychology
Wearable Technology
Digital Health
Salud Pública
Interpretability
Programming Language
ML
compututional

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About this position

PhD opportunity in Computing at Ulster University on Managing Cognitive Fatigue using Passive Sensing and Adaptive Interventions.

This project sits at the intersection of machine learning, digital health, wearable technology, and passive sensing. The successful PhD researcher will investigate how everyday data from smartphones and wearables—such as heart rate variability, movement, and touchscreen patterns—can be used to detect cognitive fatigue in real time. The research aims to develop interpretable ML models and sensing pipelines that can support lightweight, timely interventions such as micro-breaks.

The position is fully funded and includes all tuition fees, a living allowance of approximately £22,000 per year, and a research support grant. The opportunity is open worldwide to applicants regardless of residency or domicile.

Applicants should have a First or Upper Second Class degree (or equivalent) or a Masters qualification in computing, data science, or a related field. A strong interest in machine learning, digital health, wearable computing, and programming is required.

The project is supervised by Dr George Moore at the School of Computing, Ulster University. Deadline: 8 January 2027. Interested candidates should follow the project link for full details and application instructions.

Funding details

Fully funded PhD project covering all tuition fees, a living allowance of approximately £22,000 per year, and a research support grant. Open worldwide regardless of residency or domicile.

What's required

Applicants should have a First or Upper Second Class degree (or equivalent) or a Masters qualification in computing, data science, or a related field. A strong interest in machine learning, digital health, wearable computing, and programming is expected.

How to apply

Read the full project details and application instructions at the provided link. Review the Ulster University Doctoral College information page for doctoral study, then submit your application before the deadline.

More information can be found here

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