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Lecturer in Econometrics and Business Statistics
University of Sydney
About the opportunity The University of Sydney welcomes applications for various academic disciplines outlined below, during an exciting and innovative time. With the introduction of the new University of Sydney Enterprise Agreement 2023-26, the University has committed to establishing and advertising new continuing teaching and research academic positions across the University of Sydney Business School. You will have the opportunity to make a significant contribution to teaching in your field of expertise while you also continue to build substantial research contribution, expertise, connections, and impact. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school. Over time, staff appointed to these roles will be supported to engage with professional development opportunities to build their capability to lead change and improvement in teaching and research at the University. The University of Sydney is recognised as one of the top research and teaching universities in the world. A globally ranked university, ranked 18th in QS University World Rankings 2025, 1st for sustainability in Australia. The University of Sydney Business School is one of the Asia Pacific region’s premier centers for engaged and innovative business education and research, and is in the one percent of business schools globally to hold accreditation from AACSB, EQUIS and AMBA. It is the only Australian member school of CEMS, the Community of European Management Schools & International Companies. The Discipline of Business Analytics is a group of scholars working in the intersection of such quantitative fields as Econometrics and Statistics, Computer Science and Machine Learning, and Operations Research and Operations Management. We are engaged in all aspects of analysing data and building predictive and causal models to assist in business decision-making. The Discipline has research strengths in such areas as Bayesian and computational statistics, business and economic forecasting, financial and nonparametric econometrics, high-dimensional statistics, mathematical optimisation, quantitative risk management, scheduling theory, statistical machine learning, and supply chain management. Teaching and Research Opportunities The aims of these teaching and research roles are to attract and retain the best and brightest emerging academics. To support an uplift in the teaching and research capability and student experience at the University of Sydney, these positions are for talented researchers who also have a passion for, and demonstrated excellence in, pedagogical practice. You will have the opportunity to make a significant contribution to teaching and learning design, delivery, and evaluation in your specialised field while you also continue to build substantial research contribution, expertise, connections and impact. As part of this role, you will also contribute to the governance, leadership, and engagement work of your employing school. Successful candidates are expected to allocate their contributions as follows: 40% to teaching and related activities, 40% to research, and 20% to governance, leadership, and engagement. Your key responsibilities will be to:
The University of Sydney is recognised as one of the top research and teaching universities in the world. We are excited to announce positions in Business Analytics. This posting is for a position with a focus on Econometrics and Business Statistics. A concurrent posting is for a position with a focus on Machine Learning in Business. In these roles, you will be at the forefront of research in these growing fields, contribute to our dynamic and diverse teaching programs, and collaborate on innovative interdisciplinary projects. To provide further insights into this role and into what it is like to work in the Discipline, we spoke with three of our esteemed faculty members: Qin Fang, Lecturer (Assistant Professor) of Business Analytics; Jie (Jessie) Yin, Associate Professor of Machine Learning; and Artem Prokhorov, Professor of Econometrics and Business Analytics and Deputy Head of Discipline. You can read the full interview here. About you The University values trust, accountability and excellence. As such, we see the importance of recruiting talented academics who align to these values and who will lead our teaching and research work at the university in the years to come. You will join a dynamic, engaged group in a highly collaborative and supportive teaching and research environment. We are looking for candidates who can make a significant contribution to teaching and learning design, delivery, and evaluation while continuing to build their research contribution, expertise and impact. They will have a demonstrated ability to interact effectively with students, facilitating and guiding their learning in research, theory and laboratory sessions. They will also have the capacity to build a significant research program over time, obtaining competitive funding as needed to support their research work. We are therefore looking for Teaching and Research Appointments who have:
Pre-employment checks Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.
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Lecturer in Machine Learning in Business | Darlington, New South Wales, Australia |
University of Sydney | 1 Week Ago |
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