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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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), 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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, they will have prior knowledge of infectious disease modelling, Bayesian inference methods and optimisation methods. They will have a developing research profile, with a demonstrated ability to publish
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metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
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potential of high-speed rail (HSR) in shaping Australia’s urban future. As a Level A Research Fellow, you will undertake high-quality, independent research aligned with the project’s objectives, with a focus
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students and contributing to the academic life of the School. Managing project timelines and deliverables to ensure research objectives are met. Sharing research outcomes through conferences, seminars, and
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partners. Supervising postgraduate research students and contributing to the academic life of the School. Managing project timelines and deliverables to ensure research objectives are met. Sharing research
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discipline and/or relevant work experience. Strong track record of research in Process Metallurgy, with particular focus on high temperature materials, phase transformations, characterisation techniques, and
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up to date with discipline knowledge and developments. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track
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focus. In collaboration with the Primary Care and System Integration, develop and implement strategic and operational plans for the Research team to meet agreed organisational objectives. Please refer to