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South East Technological University (Carlow)

EYESPEAK – Eye-tracking and Speech Analysis for Estimating Mental Fatigue and Decision Quality in Team Field Sports South East Technological University (Carlow) in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

United Kingdom

University

South East Technological University (Carlow)

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Keywords

Computer Science
Sports Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Statistical Analysis
Natural Language Processing
Computer Vision
Eye Tracking
Competitive Sports
Machine learning

About this position

The EYESPEAK project at South East Technological University (Carlow) offers a unique PhD opportunity to investigate mental fatigue and decision quality in team field sports using advanced eye-tracking and speech analysis techniques. The research will leverage machine learning, signal processing, natural language processing, and computer vision to develop innovative methods for estimating cognitive states in athletes. The project is supervised by Dr. O Ali, Dr. F Cleary, and Dr. PF Fitzpatrick, who bring expertise in biomedical engineering, electrical engineering, and sports science.

Mental fatigue is a critical yet often overlooked factor affecting performance and decision-making in team sports. This project aims to bridge the gap between technology and sports science by integrating eye-tracking data and speech analysis to provide objective measures of fatigue and decision quality. The research centre at South East Technological University (Carlow) provides access to state-of-the-art facilities and a collaborative environment for interdisciplinary research.

Applicants should have a strong background in computer science, biomedical engineering, electrical engineering, or related fields. Experience with machine learning, signal processing, natural language processing, or eye-tracking technologies is highly desirable. The project is ideal for candidates interested in applying computational methods to real-world sports and health challenges.

Funding details are not specified in the position description. The application deadline is 22 April 2026. Interested candidates should apply online via the provided link and are encouraged to contact the supervisors for further information.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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