Queensland University of Technology
1 week ago
Fully Funded PhD in Sensing and Understanding for Autonomous Vehicles in Rural and Remote Regions Queensland University of Technology in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position. The project is part of the AVR3 ARC Training Centre for Automated Vehicles in Rural and Remote Regions and includes a strong applied research focus with hands-on development on the vehicle platform and sensing architecture.
Country
Australia
University
Queensland University of Technology
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About this position
Fully funded PhD opportunity in sensing and understanding for autonomous vehicles, with a focus on operation in rural and remote regions. The project is part of the AVR3 ARC Training Centre for Automated Vehicles in Rural and Remote Regions, a national research centre led by Queensland University of Technology with partners across industry, government, and academia.
This PhD has a strong applied and hands-on profile. The successful candidate will work on the vehicle platform and sensing architecture, contributing to research in autonomous vehicles, robotics, computer vision, machine perception, sensor fusion, and related AI-enabled sensing methods. The post is especially relevant for students interested in field robotics, mobile robotics, intelligent vehicles, LiDAR-based perception, and transport technology for challenging environments.
The announcement states that the position is fully funded. It is intended for candidates who can start by the end of the year, and it particularly suits domestic applicants already onshore and ready to begin. Some international applicants may also be feasible, especially if visa processes are streamlined or if they are already onshore in Australia.
To apply, send your CV and a brief note of interest to supervisor Dr Connor Malone at [email protected]. Co-supervisors mentioned are Sebastien Glaser, Thierry Peynot, and Michael Milford (QUT Centre for Robotics).
Funding details
Fully funded PhD position. The project is part of the AVR3 ARC Training Centre for Automated Vehicles in Rural and Remote Regions and includes a strong applied research focus with hands-on development on the vehicle platform and sensing architecture.
What's required
Applicants should be able to start by the end of the year, with the post particularly suited to domestic applicants already onshore and ready to start. International applicants may be considered if visa processes are streamlined or if they are already onshore in Australia. The role is for a PhD candidate with interest in sensing and understanding for autonomous vehicles and hands-on applied research.
How to apply
Send your CV and a brief note explaining your interest in the position to supervisor Dr Connor Malone by email. Mention your fit for the PhD project and your availability to start before the end of the year.
More information can be found here
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