Advanced Sensing and Communications for Intelligent Transportation Systems
AUD$27,596 per annum (tax-free)
The past decades have seen many technological innovations that have fundamentally changed our life, e.g., Internet, smartphones, high-speed computers, mobile communications and IoTs. Our roads, the most critical infrastructure we rely on and use on daily basis, however stayed essentially the same. The recent emergence of new technologies such as artificial intelligence, IoTs and V2X opens the door to transforming our roads into smart ones. Such technological upgrade comes at a much lower cost than building a completely new infrastructure and allows the deployment of smart transportation solutions and customer services. This project will investigate IoT based techniques for smart roads with an aim to utilize advanced sensing and communication techniques to provide smart infrastructure support for current ITS and for future connected and autonomous vehicles.
The successful candidate will be supervised by Prof Guoqiang Mao, Professor of Wireless Networking, IEEE Fellow, IET Fellow, University of Technology Sydney and conduct research in one of the following topic areas:
• High-precision (cm-level) vehicular localization techniques in complex urban environment
• Road-vehicle cooperation techniques to overcome the sensing and communication limits of vehicle on-board sensing devices
• Big data modelling and analysis of intelligent transportation systems (ITS)
• IoT for ITS and smart cities
• Advanced sensing and communication techniques for ITS and smart cities
• Structural health monitoring and analysis techniques for roads, bridges and other key infrastructures.
Who is eligible?
Applicants should have solid mathematical, telecommunications, electrical or civil engineering background.
The scholarship is only for a domestic PhD candidate only.
Successful applicants should meet the admission requirements for PhD and are expected to start their enrolment at the University of Technology Sydney in Semester 2, 2019 or Semester 1, 2020. Preference may be given to candidates who can start early.
How to apply
Send your CV and a research proposal to Professor Guoqiang Mao.
Applications close for:
Spring 2019 on 30 April 2019
Autumn 2020 on 30 September 2019