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PhD student

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Location:
Australia, Sydney

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

38438.00 AUD / Year

Job Description:

Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets – available from 2026. 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.

Job Responsibility:

Build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance across large fleets

Requirements:

  • 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
What we offer:
  • Fully funded PhD position
  • International candidates will receive a tuition fee scholarship

Additional Information:

Job Posted:
December 09, 2025

Employment Type:
Fulltime
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