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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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candidate will have an innovative mindset and interest in cross-disciplinary applications. You will have a strong work ethic and the ability to manage multiple research objectives. Some of your key
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an understanding of the project life cycle and development of project plans, objectives and documentation. Excellent written and verbal communication skills, with a high level of attention to detail and the ability
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, and contributing to strategic objectives. The role enables you to work both independently and collaboratively, supporting the development of research partnerships, supervising emerging researchers, and
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grants and contribute to the College’s strategic research objectives. Publish high-quality research, present at conferences, and establish strong national and international collaborations. Provide
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engineers, and contribute to knowledge building while pioneering state-of-the-art methods in multi-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in
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-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent
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pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post
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interact with a diverse range of stakeholders (lived experience collaborators, general public, policy makers) and students. An understanding of and commitment to UNSW’s aims, objectives and values in action
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research-related tasks as required to support the objectives of the project. Support, and may lead, applications for research and creative activities, including applications for external competitive funding