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UNSW Sydney-PhD in AI-Driven Optimisation for Electrified Transport Fleets
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Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets at UNSW Sydney, starting in 2026 This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real-time and optimises charging, operations and maintenance across large fleets. Scholarship: 3.5 years at A$38,438 per annum Primary supervisor: Prof Branislav Hredzak, UNSW Sydney, Email: b.hredzak@unsw.edu.au About you: • First-class Honours/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 modelling, time-series or control/power systems. • Experience with batteries, EV/aviation systems, stochastic/robust optimisation, or IGDT. How to apply: • Send 1) CV, 2) transcripts, 3) a 1-page 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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