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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
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statistical, Bayesian, and deep-learning approaches. Lead improvements in data quality, integration, and reproducibility across multi-centre trials and registries. Collaborate with leading clinicians, engineers
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models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
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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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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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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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of the Australian water industry context. Demonstrated ability to undertake high-quality academic research and conduct independent studies with limited supervision. Demonstrated track record