Research Fellow in Business
Faculty / Portfolio:
Faculty of Business and Economics
Monash Business School
Department of Econometrics and Business Statistics
Two year fixed-term appointment
$95,297 - $113,166 pa Level B
(plus 17% 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 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 ARC Discovery Grant DP170100729: “The Validation of Approximate Bayesian Computation: Theory and Practice”. Professor Gael Martin and Dr David Frazier are the Chief Investigators on the grant, and international researchers Professor Christian Robert and Professor Eric Renault are Partner Investigators.
The Research Fellow will be involved in research projects associated with the grant, under the direction of Professor Gael Martin and Dr David Frazier.
To be successful you will have a relevant doctoral qualification in econometrics or statistics (or equivalent relevant research experience) with specific expertise in one or more of the following areas: Bayesian statistical methods, including modern computational techniques; frequentist simulation-based inference; statistical theory; asymptotic analysis.
You will also possess sound interpersonal skills, along with excellent written and oral communication abilities.
This is an exciting opportunity for a passionate, dedicated and experienced early-career researcher who wants to make a real contribution to research outcomes.
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. Please refer to "How to apply for Monash Jobs"
Professor Gael Martin, firstname.lastname@example.org
Wednesday 3 January 2018, 11.55pm AEDT