Assistant Professor – Econometrics and Business Statistics
7 days left
- Full Time
The Melbourne Business School (MBS) seeks to fill a position of Assistant Professor in Econometrics and Business Statistics. Applicants must have a Ph.D. in econometrics, statistics or data science and must demonstrate the potential to publish in top academic journals and achieve excellence in teaching.
Melbourne Business School, affiliated with the University of Melbourne, is a leading graduate business school in Australia and the Asia-Pacific Region. MBS offers MBA, Executive MBA, Master of Marketing, and Master of Business Analytics programs, as well as a suite of Executive Education offerings. The School’s full-time MBA program has consistently featured in the Financial Times rankings and was ranked 1st in Australia by The Economist in 2021. The School’s Master of Business Analytics program was ranked 15th globally and is top ranked in the Asia/Pacific region in the QS Business Masters Rankings: Business Analytics in 2021.
The position is located in the Econometrics and Statistics cluster, which currently has four full time academic faculty. Members of the cluster have active research interests in Bayesian methodology, econometric modelling, time series modelling and forecasting, marketing analytics, big data techniques statistics for medicine and population studies. MBS also hosts the Centre for Business Analytics, which is a multi-disciplinary Centre that engages with industry with an aim to ‘transform decision making through business analytics’. More information about the current research areas of school can be found on the faculty and research page at https://mbs.edu/faculty-and-research.
The position is located at the school’s main building, which is part of the University of Melbourne’s Carlton campus in inner Melbourne. Flexible working arrangements are available to all staff. The occupant will have an employment contract with Melbourne Business School Limited, and an internationally competitive package will be negotiated with the successful applicant. Employee benefits include a subsidised School gym; health and wellbeing program; year-round social events; NFP salary packaging; and access to world class learning and development programs.
Applications should be e-mailed to Julie Burns, Faculty Support Officer at J.Burns@mbs.edu and include the following items: full CV, a list of publications, a summary of recent teaching, including teaching evaluations, and contact information for three referees. Closing date for applications is June 30, 2021.
The Melbourne Business School is committed to all aspects of equal opportunity, diversity and inclusion in the workplace and to providing all staff, students, contractors and visitors with a safe, respectful and rewarding environment free from all forms of unlawful discrimination, harassment, bullying, vilification and victimisation. The Melbourne Business School makes decisions on employment, promotion, and reward based on merit.
- Ph.D. in econometrics, statistics, data science or related area
- Demonstrated potential to publish in leading peer-reviewed academic journals
- Demonstrated potential to achieve excellence in teaching in data analysis, statistics or analytics in post-graduate and, particularly, post-experience programs
- Willingness to work collaboratively and constructively within an academic community, making a range of contributions to the intellectual life of the school
- Keen interest in cross disciplinary business research
- Willingness to supervise research students and apply for competitive research funding
- Interest in applying cutting-edge statistical methods to the analysis of business and economic data, and possibly in other fields
The successful candidate will be expected to teach into the school’s post-experience MBA degrees and the Master of Business Analytics degree. There may also be opportunities to help develop and teach content to audiences in the school’s executive education program (short courses and custom solutions). The successful applicant will be expected to pursue excellence in teaching and a highly active research agenda. The School stresses quality rather than quantity of research. Therefore, preference is for faculty to publish in internationally recognised top tier journals. MBS has low administration expectations from its junior faculty.
About Melbourne Business School
Melbourne Business School (MBS) is affiliated with the University of Melbourne’s Faculty of Business and Economics and one of the Asia Pacific region’s leading providers of management education as well as executive development. Since offering Australia’s first MBA in 1963, MBS has built a reputation for program excellence and a high-quality learning experience. It is one of two Australian business schools ranked in the Financial Times global top 100 for MBA programs.
MBS has around 40 full time academic faculty, and a strong focus on research excellence. They are all PhD qualified, have taught at some of the world’s leading business schools, publish their research in top academic journals and consult to the world’s leading companies and organisations.
Melbourne Business School, located in the world’s most liveable city, is a values-based organisation with guiding principles of respectfulness, integrity, diversity, collaboration, excellence, accountability and experimentation. It is a dynamic and welcoming place where people are inspired, engaged and challenged - personally and intellectually.
About the University of Melbourne
The University of Melbourne is a leading international university with a tradition of excellence in teaching and research. With outstanding performance in international rankings, Melbourne is at the forefront of higher education in the Asia-Pacific region and the world.
Established in 1853, shortly after the founding of Melbourne, the University is located just a few minutes from the centre of this global city. The main Parkville campus is recognised as the hub of Australia’s premier knowledge precinct comprising eight hospitals, many leading research institutes and a wide range of knowledge-based industries.
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