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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