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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours 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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days 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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Psychology/Cognitive Science A track record in research excellence evidenced by peer-reviewed journal articles published in high quality journals relative to opportunity Experience in cognitive psychology
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and statistics, with expertise spanning time series analysis, Bayesian inference, financial econometrics, and data analytics. As home to one of the strongest forecasting research groups worldwide, we
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the project lead peer reviewed outputs relevant to acoustic tracking and project modelling objectives, and other objectives as appropriate. About you The University values courage and creativity; openness and
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations, relative
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), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
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and level C include: A PhD in a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated track
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preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded