"Research Associate"

Job Description:

• Drive innovation in traffic video analytics by building and optimising cutting-edge computer vision models that improve road safety and transport planning.
• Full-time appointment on a fixed term basis for two years.
• Base salary range: Level A, $83,499– $112,371 p.a. (pro-rata) plus 17% superannuation.

About the area

Join the Planning and Transport Research Centre (PATREC) at UWA, where cutting-edge research meets real-world impact. RoadSense Analytics (RSA) is a next-generation video analytics platform for traffic analysis, representing seven years of continuous R&D. It transforms pioneering Australian research into a market-ready product for transport planning.

About the opportunity

• Design, test, and refine computer vision models for traffic video analytics, including detection, tracking, segmentation, and post-processing tasks.
• Prepare and manage datasets, benchmark and evaluate emerging frameworks, and contribute to deployment testing and optimisation across varied environments.
• Work within a small, innovative team to document findings, produce technical outputs, and translate research into real-world impact on road safety and transport planning.

About you

• Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics or related discipline, with an excellent academic record.
• Strong foundations in applied mathematics, computer vision and machine learning, particularly object detection and tracking.
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn).
• Experience with dataset preparation, training pipelines, and evaluation methods.
• Ability to work both independently and collaboratively in a research team.

Position description: PD [Research Associate] [521359].pdf

To learn more about this opportunity, please contact Associate Professor Chao Sun at chao.sun@uwa.edu.au

How to apply

Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria.

You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity.

Closing date: 11:55 PM AWST on Wednesday, 22 October 2025

This position is open to international applicants.