Research Fellow in Bayesian Statistical Methods – The University of Melbourne

Closes 17 December.

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.

• Role type: Full-time; Fixed Term for 2 years
• Faculty: Faculty of Science
• School: School of Mathematics and Statistics
• Salary: Level A – $80,258 – $108,906 p.a. OR Level B – $114,645 – $136,136 p.a. plus 17% super

More info/apply: https://jobs.unimelb.edu.au/en/job/914751/research-fellow-in-bayesian-statistical-methods