| 查看: 518 | 回复: 0 | |||
[交流]
UNSW Sydney - PhD in AI-Driven Optimisation for Electrified Transport Fleets
|
|
Fully funded PhD position in AI-Driven Optimisation for Electrified Transport Fleets at UNSW Sydney, starting in 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 Primary supervisor: Prof Branislav Hredzak, UNSW Sydney, Email: b.hredzak@unsw.edu.au 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. |
回复此楼» 猜你喜欢
系统里面怎么还是等待基金委接收纸质
已经有3人回复
-
同一个分子，一条来自文献，一条来自AI——不告诉你答案，你会选哪条？
已经有11人回复
-
烦躁
已经有3人回复
-
寻找合作团队
已经有4人回复