Applied Statistics, Data analysis/processing, Statistical organization & administration
Join an internationally accredited and respected business school
Work in a collaborative and supportive team environment
4 x full-time, continuing Academic Level B, C or D positions with remuneration package between $125,848 - $204,024 per annum which includes leave loading and 17% superannuationAbout 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 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 new colleagues 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, machine learning and operations management, operations research and management science. We are especially interested in recruiting academics with expertise in management science and machine learning, or statistics and machine learning. In this position you will:
teach at undergraduate and postgraduate level to culturally-diverse student cohorts, and develop curriculum
make a contribution to the research strengths of the School, including the pursuit of research grants, 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
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:
a PhD in Statistics, Business Analytics, Machine Learning, Operations Management, Operations Research, Management Science or a related discipline. (At Lecturer level a PhD nearing completion may be considered.)
evidence of high quality teaching in Business Analytics, Statistics, or Machine Learning at undergraduate or postgraduate level. As noted above, we are especially interested in academics who have expertise in management science and machine learning, or statistics and machine learning
contribution to (Senior Lecturer and Associate Professor level) or capacity to contribute (Lecturer level) to course and program development
an active (at Lecturer level) research program with significant potential for future publication or a well established program at Senior Lecturer and Associate Professor levels.
evidence of successful teamwork and a collegial approach.
Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
How to apply
All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number 2055/0919C to apply.
Closing date: 11:30pm (Sydney Time) Sunday 17 November 2019
The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.
The University reserves the right not to proceed with any appointment
Additional Salary Information: includes leave loading and 17% superannuation
Internal Number: 2055/0919C
About University of Sydney
As the first university to be established in Australasia, the University of Sydney consistently ranks as one of Australia’s top universities. We aim to create and sustain a university that will, for the benefit of both Australia and the wider world, maximise the potential of the brightest researchers and most promising students, whatever their social or cultural background.
WIDE OPPORTUNITIES FOR ALL
??We are unique among Australia's leading universities in the breadth of disciplines we offer, providing wide opportunities for personal development and cross-disciplinary study that delivers unique insights and breakthroughs. Studying alongside top researchers exposes Sydney students to excellence – and challenges them to succeed as leaders in whatever career field they choose.
We reach beyond our campuses to improve the lives of those who never enter our classrooms or laboratories as academics or students. Our award-winning researchers are leaders in addressing issues that impact everyone, from public health to environmental sustainability.??
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