Efficient 3D Human Movements Analysis and Understanding

This project aims to develop computer vision and machine learning based algorithms to automatically analyse human sports quality and performance. It will also generate analysis reports to help humans improve their daily exercise efficiency and health conditions. The candidate has some basic understanding of human movement and biomechanics. More importantly, the candidate should be proficient in programming and deep learning algorithms.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history

A working knowledge of computer science would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field/s of computer vision and computer graphics and the potential for scholastic success.

A background or knowledge of math is highly desirable.

You must submit an expression of interest (EOI) by 3 April, 2026 3 April, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact Dr Xin Yu (xin.yu@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: 3D-YU
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/efficient-3d-human-movements-analysis-and-understanding

Submit an EOI