Lecturer / Senior Lecturer - Business Analytics, AI and Information Systems

About the role

Swinburne University is seeking an experienced academic to join its Department of Business Technology and Entrepreneurship as a Lecturer (level B) or Senior Lecturer (level C) in Business Analytics, Artificial Intelligence and Information Systems. The position is full-time and ongoing at the Hawthorn campus, with a salary at academic level B or C plus 17% super and staff benefits.

Key responsibilities

• Prepare and deliver lectures, tutorials and workshops, and assess students on campus and online
• Contribute significantly to the initiation and development of academic programs and to program change and innovation with the academic team
• Mentor and counsel students on academic matters and supervise masters by research and PhD students
• Contribute to the school's research output, income and impact, and strengthen links with industry, government, business, communities and professions locally and internationally

Required profile

• Experience teaching, associated administration, coordination and curriculum development at undergraduate and postgraduate levels
• Commitment to innovative education, including blended learning, online teaching and the use of case studies, role-plays and simulations
• For level C: academic leadership in program or unit development, quality or teaching teams, and a track record of publishing in discipline-relevant journals
• Potential to attract external research funding or contribute to funded projects
• Earned doctorate in the relevant discipline or a related field; a teaching qualification and membership of a professional body are preferred

What we offer

• Flexible working arrangements, including hybrid options and generous parental leave
• Staff discounts, including discounted Medibank health insurance and 50% off Swinburne courses
• 17% super and salary packaging options, including car leasing and extra super contributions

Applicants must pass a Working with Children Check. Applications close on Friday, 20 November 2026, and include a cover letter and responses to the selection criteria.