Machine Learning for Smarter Real-Time Emergency Response

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, and work with realistic scenarios and an existing project codebase. You will be working with an excellent team from the Centre for Data Science and Artificial Intelligence.