Machine Learning for Smarter Real-Time Emergency Response

Application process

A completed online application must be submitted by 4.30 pm 22 September 2025. Late or incomplete applications will not be accepted. Any required supporting documentation (including references) must also be received by 4.30 pm on the closing date in order for the application to be considered.

Project number

101

Project description

Are you passionate about AI, machine learning, or optimisation—and want to apply your skills to a high-impact, socially meaningful problem? Join our project focused on learning intelligent, interpretable ambulance dispatching strategies to support emergency medical services.

As a research student, you will:
Design and implement algorithms that guide ambulance dispatch in complex environments.
Balance conflicting objectives such as response time, model complexity, equity, etc.
Explore interpretable AI that can be understood and trusted by decision-makers.
Work with realistic scenarios and an existing project codebase.

You will be working with an excellent team (A/Prof. Yi Mei, Dr. Fangfang Zhang, Prof. Mengjie Zhang, Jordan MacLachlan) from the Centre for Data Science and Artificial Intelligence.

Want to apply your skills to a project that could help save lives? Apply now!

This project is available for multiple students.