澳洲新南威尔士大学招收人工智能驱动优化方向全奖博士
Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets at UNSW Sydney, starting in 2026/2027This 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.
奖学金信息
每年$39,206澳元,总共3.5年
Primary supervisor:
Prof Branislav Hredzak, UNSW Sydney, Email: b.hredzak@unsw.edu.au
申请要求
- 电气/计算机工程、计算机科学、应用数学或相关专业一等荣誉学位/硕士学位(或同等学历)。
- 熟练掌握AI techniques/ML/optimisation (Python/Matlab)
- 熟悉probabilistic modelling, time-series, power systems.
- 具有 batteries, EV/aviation systems, stochastic/robust optimisation, or IGDT的经验。
申请方式
请将以下材料:1) CV, 2) 本硕成绩单, 3) a statement addressing fit and your most relevant project(s)
发送到导师邮箱:b.hredzak@unsw.edu.au,并在标题注明 “PhD – AI Fleet Optimisation”.申请以滚动方式审核,招满即止。
