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Macquarie University invites applications for an outstanding academic in Artificial Intelligence. The appointee will develop, teach and convene units at undergraduate and postgraduate levels, supervise HDR students, and lead collaborative research projects within the School of Computing.
Candidates should have a PhD in Computer Science or related field with AI focus, a strong publication record, demonstrated teaching excellence, and readiness to attract nationally competitive grants and engage
Macquarie University is looking for an outstanding academic with an excellent track record of teaching and research in Artificial Intelligence. 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: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large Language Models, and Applications of AI. Candidates with a strong research background in contemporary Artificial Intelligence 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.
You will be joining a growing School of Computing in the Faculty of Science and Engineering with a fast-rising reputation (Ranked 48 in the world for Computer Science in the Academic Ranking of World Universities 2025, and ranked 101 in the world for Computing and Information Systems in the QS World University Rankings 2026). 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.
You are an emerging academic leader with a strong foundation in both research and teaching in Artificial Intelligence. You thrive in collaborative environments, are committed to scholarly teaching excellence, and are motivated to build a nationally and internationally recognised research profile.
Please note we reserve the right to progress or decline an application prior to the application closing date.
Applicants must hold valid Australian work rights for the duration of this appointment.
The Faculty of Science and Engineering at Macquarie University has a goal to increase the engagement of women, Aboriginal and Torres Strait Islander peoples, and people from diverse backgrounds in STEMM roles. Applications are considered holistically, and candidates are encouraged to apply even if their experience does not meet each individual selection criterion.
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, including any requirements associated with the section 10A Defence Control Permit, 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.
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.
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