About The Role

Full-time, Fixed Term up to 18 December 2028 role based at the Darlington Campus in the School of Business Analytics and Marketing
Play a pivotal role in designing a new flagship postgraduate program that prepares future in Business Analytics and Marketing professionals for an AI-enabled world.
Base Salary, level B $ 132,533 p.a. - $ 157,381 p.a. + 17% superannuation

About the opportunity

Join the School of Business Analytics and Marketing within The University of Sydney Business School , is home to a vibrant community of internationally engaged scholars committed to excellence in research, teaching, and industry impact. The School maintains strong relationships with leading practitioners, regulators, and organisations, while fostering innovative research across the full spectrum of modern statistical learning and methodology, AI theory, time series forecasting, optimization and operations management. Joining the School offers the opportunity to contribute to a collaborative academic environment that values intellectual curiosity, research excellence, high-quality education, and meaningful engagement with industry and the broader community.

These are exciting opportunities to play a key role in shaping a new future focused postgraduate program at the University of Sydney Business School. Working within the School of Business Analytics and Marketing, you will contribute specialist expertise to the design and enhancement of curriculum, digital learning experiences, and teaching resources for this innovative postgraduate program. Collaborating with academic colleagues, industry practitioners and key stakeholders, you will help shape a contemporary and industry relevant student learning experience at the intersection of business analytics and emerging technologies, while supporting the design and development of project-based curriculum initiatives.

Reporting to Associate Professor Steven Lu , your key responsibilities will be

develop and enhance curriculum for the new digital postgraduate program
design engaging learning experiences and teaching resources
contribute specialist expertise to course and unit development activities
collaborate with academic colleagues to ensure high-quality teaching and learning outcomes
support project-based curriculum development and implementation initiatives.

About you

We are seeking an exceptional Lecturer (Education Focused) in Business Analytics who has

a PhD (or near completion) in the area of statistics, computer science, operations research or a closely related discipline, with expertise in artificial intelligence, machine learning, data science, or computational methods
demonstrated expertise in applying artificial intelligence and machine-learning methods to create novel methodology, to solve difficult and previously unsolvable business problems, or other similarly consequential areas
strong technical capability in relevant programming languages and analytical tools, such as Python, R, machine-learning frameworks, large language models, or related computational technologies
demonstrated ability to develop and articulate a clear, compelling, and forward-looking vision for the future of AI and AI education over the next 3–5 years, and to communicate this vision effectively to key stakeholders. The proposed vision should be grounded, at least in part, in the candidate’s previous work, achievements.
demonstrate knowledge of current and emerging developments in artificial intelligence, machine learning, and their application within financial services and business.
experience in curriculum design, development, and teaching within a tertiary education environment, preferably in statistics, artificial intelligence, machine learning, data science, or a related field
a demonstrated commitment to excellence and innovation in teaching and learning, including the development of student-centred educational experiences that integrate financial theory, technical skills, and real-world applications
experience collaborating effectively with academic colleagues, industry partners, professional staff, and other stakeholders to deliver high-quality educational outcomes

Sponsorship / work rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.

Pre-employment checks and declarations

Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. 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.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ+ . We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion .

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Helen Efstathiou, Recruitment Consultant, Recruitment Operations on +61 2 8627 7137 or by email helen.efstathiou@sydney.edu.au

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

Click to view the Position Description for this role.