Salary Range: AUD $104,185- $147,159 per annum plus 17% superannuation
The Department of Econometrics & Business Statistics (EBS), one of the seven Departments at Monash Business School, comprises approximately 50 academics (and 50 PhD students) with particular strengths in econometrics, statistics, and actuarial science.
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 preeminent 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 2018, Monash University received a rank of 5, which is the highest possible rank, in Econometrics. The Department is ranked in the top 10 institutions in the fields of Econometrics, Time Series and Forecasting by IDEAS (a Research Papers in Economics service maintained by the Federal Reserve Bank of St. Louis, USA). We are also closely involved with the open source software movement, including the R foundation.
Business Analytics is a well-established discipline in the Department with a strong statistical foundation, and an emphasis on statistical modelling and data analysis. Our Bachelor of Business includes a major in business analytics and statistics, our Bachelor of Commerce includes a major in business analytics that is accredited by the Statistical Society of Australia and we also have a Master of Business Analytics. The department has a high level of engagement with industry practitioners as well as nationally and internationally recognised research activities. We are also closely involved with the open source software movement, including the R foundation, and we have a focus on analytics with a social good. General information about the Department can be obtained at https://www.monash.edu/business/ebs.
Expression of interest Requirements:
· Job Market Paper
· Cover Letter detailing your motivation to apply
· Letters of Reference
Application deadline: 10 December 2022
To apply for this position, create an Applicant profile.
Submission materials required
Field(s) of specialization: Statistics or related discipline. Preference will be given to candidates with expertise in one of the following areas: machine learning, statistical computing, data visualisation, computational statistics, data science or operations research.
Interviews: Initial screening interviews will be conducted online January 9-11, 2023. Extensive interviews will be conducted in person in January and February, 2023.