JOE Listings (Job Openings for Economists)
August 1, 2020 - January 31, 2021
Monash University
Position Title/Short Description
Section: International: Other Academic (Visiting or Temporary)
Location: Clayton, Victoria, AUSTRALIA
JEL Classification: C1 -- Econometric and Statistical Methods and Methodology: General
Keywords:
Statistics
Bayesian computational methods
Statistical theory
Full Text of JOE Listing:
Research Fellow
Location: Clayton campus
Employment Type: Full-time
Duration: 12-month fixed-term appointment
Remuneration: $99,147 - $117,738 pa Level B (plus 9.5% employer superannuation)
The Department of Econometrics and Business Statistics at Monash University comprises approximately 50 academics with particular strengths in econometric theory and methods, Bayesian statistics, forecasting, data visualisation and analytics. The Department is ranked among the best in the world.
The Research Fellow will undertake research on ARC Discovery Project DP170100729: “The Validation of Approximate Bayesian Computation: Theory and Practice”. This project will explore the use of distance metrics within approximate Bayesian methods. A crucial aspect of the project will be the evaluation of these approaches for model choice, and the development of model choice algorithms for non-summary-based approximate methods. The project will exploit recent advances in such methods, including expectation propagation, and Gibbs-like approaches. The Research Fellow will engage in all aspects of the research and will therefore acquire expertise in the methodological, theoretical and empirical aspects of the project.
The appointee will have a doctoral qualification in econometrics or statistics, with specific expertise in Bayesian computational methods and statistical theory.
Enquiries Professor Gael Martin, Chief Investigator, gael.martin@monash.edu
Application Requirements:
- External Application Link