$142,451 to $164,275

Ongoing, full-time

Gardens Point (hybrid option available)

Reference number: 26428

Term: Ongoing, full-time basis

Remuneration: $137,608 to $163,427 pa (LEVB) (inclusive of $116,280 to $138,097 salary pa, 17% superannuation and 17.5% recreation leave loading) $168,578 to $194,406 pa (LEVC) (inclusive of $142,451 to $164,275 salary pa, 17% superannuation and 17.5% recreation leave loading)

Location: Gardens Point (hybrid option available)

Open to: Applicants who have ongoing full-time work rights in Australia. Aboriginal and Torres Strait Islander people are strongly encouraged to apply. Who are we looking for? We are seeking a Lecturer / Senior Lecturer - Machine Learning to join School of Electrical Engineering and Robotics, Faculty of Engineering.

We are seeking an academic to join QUT in delivering Australia’s first Machine Learning Systems Major in an accredited Undergraduate Engineering Degree - a landmark program that positions QUT at the forefront of Machine Learning education in engineering. The successful appointee will contribute to and build upon the School’s national leading research expertise in robotics and autonomous systems, artificial intelligence, and machine learning, and will have expertise in at least one of the following areas: machine learning systems and deployment; deep learning for computer vision or signal processing; or applied AI for high-impact engineering domains including electrical, manufacturing, healthcare, agriculture, aerospace, defence or robotics. innovation in teaching practices, including the design of new courses and micro-credentials. The appointee will contribute to and collaborate with the School’s research groups and research centres across the Faculty and University.

They will be supported to develop the capability to provide national and international leadership, and to build strong linkages across disciplines, industry, government, and regulatory bodies to deliver real-world impact. The appointee will undertake high-quality research and publish outcomes in leading venues while developing competitive grant applications. They will contribute to undergraduate and postgraduate teaching, curriculum development, and innovative learning initiatives, including recent courses and micro-credentials.

The role also involves collaboration across research groups and centres, building interdisciplinary partnerships with industry, government, and regulatory bodies, and developing the capacity for national and international research leadership and impact. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a more virtual and connected world.





About Us QUT is a major Australian university with a global outlook and a 'real world' focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world. The School of Electrical Engineering and Robotics plays a significant role in almost every aspect of a modern lifestyle, supplying the energy and intelligence for the technology that helps us to manage and understand the world around us.

We work to ensure safe, affordable and environmentally responsible supply and consumption of electricity. We make sense of the world’s data streaming in from cameras, devices, and sensors. Our expertise in Robotics, Machine Learning, Computer Vision, Wireless Communications, Signal Processing, Power Engineering and Renewable Energy Systems allows us to develop systems to automatically interpret the world, its people and their activities from diverse visual and audio sources.

We create cutting edge robotic systems that interact with the real world, operating autonomously in our natural and built environments to benefit industries such as health, transport, manufacturing, mining and agriculture. We are committed to the education of Electrical Engineers both as undergraduates and postgraduates, and work with partner Schools to deliver leading edge Mechatronic, Software and Aerospace Engineering education..

What You Need To Succeed

Completion of a doctoral qualification in Electrical Engineering, Machine Learning, Artificial Intelligence, Computer Vision or a closely related field. Demonstrated achievement in research, relative to career stage, including a track record of publications in high-quality journals and conferences, success in securing research funding, and engagement with industry. Demonstrated ability in teaching and learning, including innovative and scholarly approaches, and experience in supervising higher degree research students.

Experience in developing research proposals to external funding bodies, administering funded research projects, and ability to engage and collaborate with a range of stakeholders, including industry partners, government and/or scientific organisations. Proven ability to contribute to a collaborative,



high-performance academic environment. Demonstrated commitment to equity, diversity and Indigenous Australian engagement.

Life at QUT We're Committed To Building a Culture That Fosters Connection Between People And Purpose.

Beyond Personal And Professional

Fulfillment, a Career At QUT Offers A healthy work-life balance with a blend of on-campus and off-campus work arrangements for applicable positions. Competitive remuneration with up to 17% superannuation and leave loading of 17.5%. Generous parental leave including primary carer parental leave of up to 26 weeks (including 17% super). Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance.

Purchased Leave

Scheme - up to 8 extra weeks.

Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme.

Commitment to our Indigenous Australian staff through initiatives such as the Indigenous Australian Staff Network, Cultural and Ceremonial Leave, Staff Development Workshops, and representation on university committees. Explore more benefits of life at QUT . Belong at QUT We are guided by our values of Ambition, Integrity, Inclusiveness, Innovation, and Academic Freedom and our QUT Connections in our mission to inspire and shape the next generation of change-makers.

As part of our commitment to fostering an inclusive workplace, we proudly support our Indigenous Australians Employment Strategy , aiming for an Indigenous Australian workforce participation of 3.6%. We extend a warm invitation to Aboriginal Australians and Torres Strait Islander people to join us in pursuing a rewarding career at QUT. We believe that diversity is our strength and are dedicated to creating safe, inclusive spaces where everyone can thrive.

We strongly encourage individuals from diverse cultures, ages, linguistic backgrounds, sexual orientations, and gender identities, and those who are living with disabilities to apply for positions at QUT. At QUT, diversity is not just embraced—it's celebrated. See our commitment How To Apply Discover the possibilities that await with a career at QUT.

If you're ready to embark on a journey of innovation and opportunity, we're excited to meet you. Find out more about this position and submit your application by clicking 'Apply' or the link below.

View the job details at: 26428 - Lecturer / Senior Lecturer - Machine Learning Job opens: 07-Aug-2026 Applications Close: 15-Sep-2026 at 11.30pm

📌 Lecturer / Senior Lecturer - Machine Learning (Brisbane)
🏢 QUT (Queensland University of Technology)
📍 Brisbane