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AI-based Detection, Recognition and Behaviour Analysis of Wild Animals

About This PhD Project

Project Description

In the past 5 years, impressive advances have been made in detecting, recognising and analysing the behaviour of people. Animals, however, have received much less attention despite the importance of these applications in environment conservation, endangered species protection and biosecurity. The goal of this project is to develop deep learning algorithms for the detection, recognition, and the analysis of the behaviour of wild animals in their natural habitat from images captured using standard video cameras. Results of this work will then be used in the management of critically endangered animals such as Gilbert’s Potoroo.

A suitable candidate for this project should have a good expertise in computer vision, image processing, and machine learning. The candidate should also have excellent hands-on programming skills using languages such as Matlab, Python, C and C++.

If you meet the HDR admission requirements ( please send an e-mail directly to PRINCIPAL SUPERVISOR with following information:
- Email subject:
Please write the follow “Prospective PhD” and the title of the project you are enquiring about.

- Email body:
provide the following information;
1. Your academic & research background, experiences, and research interests.
2. When you expect to start your PhD if successful.

- Attachments:
CV and academic transcript

Applications accepted by May 30th, 2020 or until position is filled.

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