Dr Branislav Hredzak
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Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets - available from 2026/2027
This project will develop a framework to optimise 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. International candidates will receive a tuition fee scholarship.
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, 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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- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
Recent grants:
- AR Discovery Grant on "Framework for optimising operation of electrified transportation fleets", (Lead investigator, 2026-29, A$680,000).
- Cooperative Research Centre Projects (CRC-P) grant on “Electric conversion to fast track zero emissions commercial aviation”, (Lead investigator, 2023-26, A$3,000,000).
- UNSW Faculty Research Infrastructure Scheme on “Advanced battery testing and management systems”, (Lead investigator, 2023, A$149,976).
- Innovation Connections Grant on “Ground rig for testing of electric powerplant for aviation“, (Lead investigator, 2022-23, A$100,000).
- UNSW Digital Grid Futures Institute Grant on “Active balancing topologies for stationary energy storage Systems" (Lead investigator, 2022, A$50,000).
- Industry Research Grant on “Assessment of the most effective path forward for the BMS, SOC, and SOH development area”, (Partner investigator, 2020-22, A$505,000).
- Cooperative Research Centre Projects (CRC-P) grant on “Grid integration design of solar farm with hybrid energy storage system”, (Partner investigator, 2021-22, A$460,000).
- AMSI Intern Program Grant on “Concept design of powertrain ground rig“, (Lead investigator, 2021, A$20,500).
My research interests include:
- Control and management of distributed renewable energy resources
- Power systems control and optimization
- Application of AI in power systems and distributed energy systems
- Reconfigurable and hybrid energy storage systems
- Advanced control systems for power electronic converters
- Renewable energy systems, smart grid
- Battery management systems
- Virtual power plants