Salary Package: Level B from $123,435 to $146,044 p.a. (3% increase from July 2026), plus 17% employer's superannuation and annual leave loading
Appointment Type: Full-time, fixed term for 4 years
Location: Macquarie University, Wallumattagal Campus, North Ryde
Macquarie University is looking for an outstanding academic with an excellent track record of teaching and research in Data Science and AI. The successful applicant will be expected to develop, teach and convene units at the postgraduate and undergraduate levels, while supervising Higher Degree Research students as well as leading and collaborating on research projects.
We strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Data Science, Machine Learning, Artificial Intelligence, Neural Networks, Applications of Statistics in Information Technology. Candidates with a strong research background in Graph Data Mining and Learning are highly desirable.
The successful candidate will demonstrate an excellent track record in research and teaching, as well as personal and professional skills that can enable service and leadership contributions that will help to strengthen the impact and reputation of the School of Computing, Faculty of Science and Engineering, and Macquarie University.
About us
You will be joining a growing School of Computing in the Faculty of Science and Engineering with a fast-rising reputation (Top 50 globally for Computer Science and Engineering, in 2025 Shanghai Global Ranking of Academic Subjects, and Top 100 globally for Data Science and AI, in 2025 QS World University Rankings by Subject). The School of Computing is currently the home of more than 60 academic staff and over 150 research students, and close to 3,500 undergraduate and postgraduate coursework students. The school offers a broad range of cutting edge undergraduate and postgraduate courses and enjoys a strong research ethos.
In Macquarie's Faculty of Science and Engineering, you'll join passionate researchers and educators blazing new trails in the spirit of discovery and exploration. Encouraged to think boldly, and supported by some of Australia's most outstanding facilities, brilliant minds converge in our faculty to create incredible new possibilities: the world's first attempt to synthesize complex life, the creation of Wi-Fi, the discovery of dancing dwarf galaxies, and the development of blue LED light. Inspired by challenge and opportunity, we look forward to welcoming you as we imagine a new future together.
Globally recognised as one of Australia's leading research universities, Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation in 1964, we have aspired to be a different type of university: one unbound by ivory towers and sandstone walls. Our campus spans 126 hectares, with open green space that gives our community the freedom to think and grow. Uniquely located in the heart of Australia’s largest high-tech precinct with more than 300 leading companies, our students can tap into industry connections that give them an edge in their future careers, while our staff have access to outstanding research and innovation opportunities with some of the world’s leading organisations.
About You (Selection Criteria)
You are an emerging academic leader with a strong foundation in both research and teaching in Data Science and AI. You thrive in collaborative environments, are committed to scholarly teaching excellence, and are motivated to build a nationally and internationally recognised research profile.
A PhD in Data Science and AI or a closely related discipline, with a research focus on one or more of the following: Graph Mining, Graph Neural Networks, Graph Learning, Graph for LLM, Dynamic Graphs, and Graph Database
Demonstrated commitment and capability in delivering high-quality, innovative teaching at undergraduate and postgraduate levels in data science and AI
A strong publication record in top-tier peer-reviewed journals and conferences (e.g., KDD, ICDM, ICDE, NeurIPS, IJCAI, AAAI, IEEE/ACM Transactions)
Demonstrated teaching expertise in one or more of: Data Science, Machine Learning, Artificial Intelligence, Neural Networks, or Applications of Statistics in Information Technology
Proven ability to attract and supervise research students
Demonstrated potential to attract nationally competitive and/or industry research grants
High-level oral and written communication skills in English, with a proven ability to interact effectively with students, staff, and the community
Experience engaging and collaborating effectively with industry (Desirable)
How to Apply
To be considered, please apply online with your CV and a cover letter outlining how your experience aligns with the selection criteria (above).
Applications Close
Applications will close on Wednesday 9th April at 11.55PM (AEST), please note we reserve the right to progress or decline an application prior to the application closing date.
Enquiries
For enquiries, or a confidential conversation about the role, please contact Distinguished Professor Michael Sheng at michael.sheng@mq.edu.au.
Why Join Us?
Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation over 60 years ago, we have aspired to be a different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today.
We rank amongst the top employers in the Australian Workplace Employers Index, having recently earned a five-star rating in the QS World Rankings with the highest rating for employability. Take a look at the fabulous staff benefits on offer when you work at Macquarie University:
Flexible, hybrid work arrangements
17% Superannuation
Subsidised onsite parking options
Extensive training and professional development programs
Onsite childcare facilities to support working parents
Onsite vacation care during school holidays
Discounted health insurance
Subsidised membership at our Sport & Aquatic Centre
Access to an Employee Assistance Program for free and confidential support
Convenient onsite GP, imaging, and physiotherapy clinics
Pre-Employment Checks
Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.
Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University.
If you're already part of the Macquarie Group (MQ University, U@MQ, MQ Health, MGSM), you'll need to apply through your employee Workday account. To apply for this job: Login to Workday and go to the Careers App > Find Jobs.
Applications Close:
09/04/2026 11:59 PM
A Place Where You Belong
At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework.
Flexible Work
At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.