Publisher
source

Kieran Collins

3 months ago

Funded PhD in Computer Vision, Data Architecture, and Human Factors in Sport Performance Intelligence Technological University Dublin in Ireland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded four-year PhD studentship with a tax-free stipend of €25,000 per year for four years. EU fees are covered, and non-EU students receive a fee waiver. Additional funds are available for conference attendance and training activities.

Deadline

Expired

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Country

Ireland

University

Technological University Dublin

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Keywords

Computer Science
Machine Learning
Sports Science
Psychology
Information Technology
Artificial Intelligence
Computer Vision
Ergonomics
Human Factors Engineering
Python Programming

About this position

Technological University Dublin is recruiting for a fully funded PhD in Computer Vision & Data Architecture for Sport, within a broader Autumn 2026 cohort of funded PhDs in Data Science & AI backed by Research Ireland.

This project focuses on human factors and ergonomics in sport performance intelligence. The research will design and build a video data environment from an AI-first perspective, including ingestion, storage, retrieval, and a computer vision layer to support coaches and analysts working under match-day pressure. It sits at the intersection of computer vision, data engineering, sports analytics, and human-centred AI.

Funding: €25,000 per year tax-free for four years. EU fees are covered automatically, and non-EU students receive a fee waiver. Additional funds may support conference attendance and training activities.

Eligibility/preferences: strong Python skills, genuine interest in CV and data pipelines, and willingness to work across academic and industry settings. A master's degree is helpful but not required.

Supervision / contact: Kieran Collins (TU Dublin) is listed as the project contact, with the wider TU Dublin cohort including projects led by Malabika Basu, Maria Chiara Leva, James Loughman, Susan McKeever, Aidan Meade, and Robert Ross.

Application window: applications are open for the Autumn 2026 intake and close on 14 June 2026. Interviews are provisionally scheduled for June, with decisions soon after.

How to apply: submit the application via the central form, and if you prefer this project, indicate the lead supervisor in the online application. Direct enquiries can be sent to [email protected].

Funding details

Fully funded four-year PhD studentship with a tax-free stipend of €25,000 per year for four years. EU fees are covered, and non-EU students receive a fee waiver. Additional funds are available for conference attendance and training activities.

What's required

Applicants should have strong Python skills and a genuine interest in computer vision, data pipelines, and sport. A master's degree is helpful but not required. The project seeks someone comfortable working across academic and industry settings and interested in human factors, ergonomics, and applied AI/data engineering.

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