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Work type
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Perth
Categories
Academic (by faculty)

Benefits

  • Flexible working options considered.
  • 26 weeks paid parental leave after one year and 36 weeks after five years continuous service, regardless of gender.
  • 4 weeks annual leave with the option to purchase more.
  • 13 weeks long service leave after seven/ten years.
  • Salary packaging options.
  • 17% superannuation, with the option to reduce to the minimum super guarantee.
  • 25% off UWA full fee courses, discounted health insurance, and convenient on-campus childcare options.
  • Incremental progression based on 12 months continuous service.

Research Associate

Job no: 521359
Work type: Full Time
Location: Crawley
Categories: Arts, Business, Education, Law

  • 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

Note: We encourage you to submit your application as soon as possible, as we may begin reviewing candidates while the position remains open.

This position is open to international applicants. 

About the University

The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university.

Learn more about us.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability.

If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.

If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

Advertised: W. Australia Standard Time
Applications close: W. Australia Standard Time

Apply now

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