Research Fellow in Econometrics and Business Statistics

Melbourne, Australia
14 Nov 2017
End of advertisement period
03 Jan 2018
Contract Type
Fixed Term
Full Time

Job No.


Faculty / Portfolio:

Faculty of Business and Economics
Monash Business School
Department of Econometrics and Business Statistics


Clayton campus

Employment Type:



2 year appointment


$95,297 - $113,166 pa Level B
(plus 9.5% employer superannuation)

  • Be inspired, every day
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

The Department of Econometrics and Business Statistics (EBS) is recognised worldwide for the quality of its research and teaching and has been designated by Monash as an area of outstanding strength, “demonstrably pre-eminent relative to other Australian universities and competitive with the strongest international equivalents”. In the Excellence in Research for Australia assessment conducted by the Australian Research Council in 2015, Monash University received a rank of 5, which is the highest possible rank, in Econometrics and Statistics.

EBS is seeking a highly motivated Research Fellow to undertake and contribute to research, under the auspices of the Australian Research Council Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS). Prof Rob J Hyndman and Prof Kate Smith-Miles are both Chief Investigators for ACEMS.

The Research Fellow will be involved in research projects associated with ACEMS, under the direction of Prof Hyndman and Prof Smith-Miles.

To be successful you will have a relevant doctoral qualification in statistics, econometrics, mathematics or computer science (or equivalent relevant research experience) with specific expertise in one or more of the following areas: machine learning, computational statistics, data mining, time series analysis.

You will also possess sound interpersonal skills, along with excellent written and oral communication abilities.

If you believe you fit this profile, we look forward to receiving your application.

This role is a full-time position; however, flexible working arrangements may be negotiated.

Your application must include a CV, a relevant research paper and contact details of three referees (contact name, phone number and contact email). Please refer to "How to apply for Monash Jobs


Prof Rob Hyndman,

Position Description

Download File PD - Research Fellow

Closing Date

Wednesday 3 January 2018 11:55pm AEDT