About the opportunity
The Discipline of Business Analytics is a group that combines academics from statistics/econometrics, management science and computer science. We are engaged in all aspects of analyzing data, making forecasts and building models to assist in management decisions. The Discipline has research strengths in the areas of financial time series and quantitative risk management; business and economic forecasting; econometrics and Bayesian statistics; computationally intensive estimation; supply chain management and scheduling theory. The group is building up expertise in machine learning and is open to appointing teachers and researchers in other emerging fields in business analytics such as text analytics.
We are currently seeking to appoint new colleagues with expertise in one or more of the major areas of business analytics, including statistics and data analysis, statistical learning, machine learning, operations management, operations research and management science, risk analytics, and time series analysis. We are especially interested in recruiting academics with expertise in machine learning and statistics, or machine learning and management science.
In this position you will:
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for colleagues with:
To be considered for this position, please provide a CV and a cover letter which demonstrates your suitability and enthusiasm for this role. These will provide evidence of how your experience and scholarship aligns with the role and should be uploaded online, along with any additional information you may have in support of your application.
Closing date for applications: 11:59 pm, 10 November 2021 (AEDT)
To apply, follow this link: University of Sydney Career Site - Workday (myworkdayjobs.com)
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)