PhD AI for Athlete Activity Recognition and Analysis.

Updated: 7 months ago
Job Type: FullTime
Deadline: 22 May 2023

10 May 2023
Job Information

University College Dublin
Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)

Application Deadline

22 May 2023 - 23:00 (UTC)
Type of Contract

To be defined
Job Status

Hours Per Week

To be defined
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

As part of a LERO funded project we are seeking applicants for a PhD scholarship in AI for Athlete Activity Recognition and Analysis, based at University College Dublin's Natural Computing Research & Applications Group ( ).

We are offering a unique PhD opportunity for a highly motivated and enthusiastic candidate to join our team and work on the development of algorithms to automate the extraction of individual activities from wearable sensor data. Specifically you will focus on activities recorded with a single device type, where your main task will be to develop and implement advanced signal processing, sensor fusion and machine learning techniques to extract specific activities (walking, jogging, running) from the wearable sensor data of an athlete.

This full-time PhD studentship comprises an annual stipend of €18,500 for 4 years, postgraduate fees and a contribution towards direct research costs. 

You will work closely with our team, which includes Prof Fergal McCaffery (DkIT, Lero Co-PI), Prof Michael O’Neill (UCD, Lero Co-PI) and our collaborator Dr Mark Connor (PhD AI in Sports Analytics, BSc Sports Science) who is based in University College Dublin.

The successful candidate will have a strong background in computer science, artificial intelligence, signal processing, machine learning or related fields, and a keen interest in sports science, biomechanics, exercise physiology or wearable technology. You will be working with state-of-the-art technology and techniques, and will have the opportunity to develop skills that are highly sought after by industry and academia.

If you are interested in being part of this exciting project, please send your CV and a cover letter explaining your motivation for this PhD opportunity to  

Applications are open until 22 May 2023, however applications received after this date will be evaluated on a rolling basis until filled. 

Additional Information
Work Location(s)
Number of offers available
University College Dublin

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