Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets

School of Electrical Engineering and Telecommunications

Organisation / Company UNSW Sydney Department School of Electrical Engineering and Telecommunications Research Field Engineering >

Electrical engineering Engineering >

Control engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Australia Application Deadline 14 Dec 2026 - 20 : 06 (Australia / Sydney) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Help accelerate the global shift to electric mobility. 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.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 or control / power systems.
• Experience with batteries, power systems, EV / aviation systems, stochastic / robust optimisation, or IGDT.

How to apply :

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