University of Sydney

Position Title/Short Description

Full Text of JOE Listing:

Discipline of Business Analytics
University of Sydney Business School
Reference no. 1631/0916

• Seeking two academics to join an internationally accredited and respected business school
• Work in a collaborative and supportive team environment
• Full-time or part-time appointments considered, continuing roles, remuneration package: $139K to $165K (which includes base salary, leave loading and up to 17% superannuation). A salary supplement may also be negotiable.
The University of Sydney is Australia's first university and has an outstanding global reputation for academic and research excellence. We employ over 7600 permanent staff, supporting over 60,000 students.

Our University of Sydney Business School came into being in 2011 as a result of reorganisation of the Faculty of Economics and Business. We have AACSB accreditation for both our business and accounting programs, and EQUIS accreditation through EFMD , the European Foundation for Management Development. Our business school is the only Australian member school of CEMS - The Global Alliance in Management Education, and we are committed to high quality research which is both rigorous and relevant.

Staff in the Discipline of Business Analytics are specialists in business statistics, advanced analytics, econometrics, management science and operations management. We are engaged in all aspects of analysing 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 two academics in business analytics with expertise in one or more of the major areas of business analytics, including statistics and data analysis, statistical learning, risk analytics, time series analysis, operations research, machine learning and text analytics. These appointments may be at Lecturer (Level B) or Senior Lecturer (Level C) level.

As a successful applicant you will:

• teach at both the undergraduate and postgraduate levels to culturally-diverse student cohorts, and develop curriculum
• make a contribution to the research strengths of the school, including the pursuit of research grants and regular publication in journals of high standing, and presentation and dissemination of research at academic conferences
• supervise research higher degree students
• be involved in interdisciplinary collaborations within the University and with external stakeholders
• contribute to academic administration.
To be successful at Lecturer level you will need:

• completion of a PhD in statistics, statistical learning, data mining, business analytics, data science, operations research, machine learning or a related discipline
• evidence of high quality teaching and expertise in statistics, statistical learning, data science and/or business analytics units, at the undergraduate or postgraduate level
• the capacity to contribute to course and program development
• an active research program with significant potential for future publication
• evidence of successful teamwork and a collegial approach.
There are additional selection criteria for appointment at Senior Lecturer level which are outlined in the online application process.
This is your opportunity to join a dynamic group that researches and teaches in quantitative business analytics and decision sciences.

All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply.

CLOSING DATE: 11:30pm 6 November 2016 (Sydney time)

© The University of Sydney

The University reserves the right not to proceed with any appointment.