Lameness detection and characterisation in athlete horses

Summary

Supervisor

Research location

Synopsis

The goal of this project is to develop an end-to-end neural network solution for lameness characterisation in athlete horses based on video data. It will enable the detection and prevention of catastrophic injuries much more reliably than current methods. The project requires a strong background in Python and neural network principles and architectures.

Collaborator: Peter Tually and Chris Cowcher, TeleMedVet, Perth, Western Australia.

Note:

Projects are available to scholarship holders only
$5k-10k /annum top-up is available to eligible scholarship holders
6-12 month visits to collaborating partner institutions is possible for relevant projects

For more information contact andre.kyme@sydney.edu.au

How to apply:

To apply, please email andre.kyme@sydney.edu.au the following:

CV
transcripts

Want to find out more?

Interested in this opportunity? Want to know what to do next? Find out all you need to know about the application process including how to approach a potential supervisor via email and how to develop a research proposal.
Browse for other opportunities within the Biomedical Engineering.
Contact us to find out what's involved in applying for a PhD. Domestic students and international students.

Opportunity ID

The opportunity ID for this research opportunity is 3487