* (posted 2024/04/16, updated 2024/04/15, listed until 2024/05/16)
| The Research Fellow in Bayesian Statistical Methods is expected to undertake the development of computational and methodological approaches for modern data science. The appointee is expected to work both independently and collaboratively across areas of interest in both applications and theory. The position is supported by funds from the ARC Future Fellowship of Professor Howard Bondell titled “Statistical Modelling in the Era of Data Science: Theory and Practice” and aims to develop innovative statistical methodology that is interpretable, theoretically justified, and scalable to today’s growing complex data.
This is a research position but will also involve joint supervision of postgraduate and master’s students. Some teaching opportunities may also be available if the candidate is interested in developing their teaching skills, but the role is primarily focused on research.
All application materials to be submitted via MathJobs by 16 May 2024. Note that a Selection Criteria document is part of the Australian application format and informs our discussion. For further information and to view the Position Description and Selection Criteria please go to https://jobs.unimelb.edu.au/en/job/914751/research-fellow-in-bayesian-statistical-methods
An Equal Opportunity employer. |
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