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Machine Learning for Smarter Real-Time Emergency Response
Scholarship details
| Study levels | Ph D, Masters |
|---|---|
| Close date | Monday, 22 September 2025 |
| Domestic/international | Domestic Only |
About the scholarship
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, and work with realistic scenarios and an existing project codebase.
Entry requirements
Must be passionate about AI, machine learning, or optimisation. Relevant skills in algorithm design and implementation are preferred.