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PhD position in Optimisation for Electrified Transport Fleets at UNSW Sydney
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Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets at UNSW Sydney, starting in 2026/2027 This project will develop a framework to optimize the schedule and operation of electrified transportation fleets. It will predict batteries performance, detect anomalies in real time, manage schedule uncertainties, adapt to battery health, charger availability and unexpected delays. Expected outcomes include improved reliability and efficiency, extended battery life and reduced operational costs. Scholarship: 3.5 years at A$39,206 per annum Primary supervisor: Prof Branislav Hredzak, UNSW Sydney, Email: b.hredzak@unsw.edu.au About you: • First-class Honors/Masters (or equivalent) in Electrical/Computer Engineering, Computer Science, Applied Maths or related. • Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modeling, time-series, power systems. • Experience with batteries, EV/aviation systems, stochastic/robust optimisation, or IGDT. How to apply: • Send 1) CV, 2) transcripts, 3) a statement addressing fit and your most relevant project(s) to b.hredzak@unsw.edu.au with subject “PhD – AI Fleet Optimisation”. Applications reviewed on a rolling basis until filled. |
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