Lecturer or Senior Lecturer, Computer Vision

Overview:

• 1 x Full time, ongoing position available to join the School of Computing Technologies, Discipline of Data Science and AI
• Salary Academic Level B ($115,303 - $136,925) or Level C ($141,247 - $162,872) + 17% Super
• Based at the City campus, but may be required to travel to other University campuses

About the Role

We are seeking a Lecturer or Senior Lecturer to strengthen the School’s expertise in Artificial Intelligence and Data Science, with a focus on computer vision. The successful candidate will bring expertise in one or more of the following areas:

• Vision-Language Models and Multimodality
• Efficient and Low-Resource Computer Vision
• Robust and Reliable Computer Vision, or Medical Image Processing and Reconstruction

Candidates who can contribute to the School’s priorities in Responsible Computing or Digital Health will be highly regarded. The appointee will maintain an active research profile, including publications in leading venues such as CVPR, ICCV, NeurIPS, IJCV, and TPAMI, and will engage with academic, industry, and professional communities.

The role involves delivering high-quality teaching across undergraduate and postgraduate programs, contributing to curriculum development, and working collaboratively within a collegial academic environment. You will also:

• contribute to course coordination and program delivery
• build partnerships that enhance research, impact, and student experience

At the Senior Lecturer level, additional expectations include leadership in teaching and research, supervision of higher degree research candidates, mentoring staff, and contributing to research funding and strategic initiatives.

About You

To be successful for this position, you will have:

• Contribute to high-quality teaching across undergraduate and postgraduate programs in areas such as Computer Science, Artificial Intelligence, Data Science, Software Engineering, Cyber Security, and Information Technology, including online delivery.
• Develop and deliver engaging curriculum, course materials, and assessment aligned with contemporary industry and academic practice.
• Build and maintain an active research profile in computer vision, demonstrated through publications, development of research initiatives, and engagement with industry and external partners.
• Establish and strengthen collaborations with academic, industry, and professional communities to support research impact and student outcomes.
• Supervise higher degree by research candidates, contributing to a supportive and productive research environment.
• Contribute to a collegial team culture, working collaboratively, supporting colleagues, and engaging positively with diverse perspectives.
• Demonstrate a commitment to equity, diversity, and inclusion across teaching, research, and supervision.
• Communicate effectively with a broad range of stakeholders, including presenting research to academic and non-academic audiences.

At Senior Lecturer level, you will additionally:

• Provide leadership in teaching and research, including mentoring junior staff and contributing to team development.
• Lead curriculum and program development initiatives and contribute to course coordination.
• Play a key role in securing competitive research funding and advancing strategic research priorities

Qualifications

Mandatory: PhD in relevant field.

Note: Appointment to this position is subject to passing a Working with Children Check and other checks as required by the specific role. Maintaining a valid Working With Children Check is a condition of employment at RMIT.

To Apply

Please submit your CV and cover letter and separately address ​the Key Selection Criteria​ for this position by clicking on the ‘Apply’ link at the top of this page. For further information, please contact Professor Jeffrey Chan, Associate Dean, Data Science & Artificial Intelligence at jeffrey.chan@rmit.edu.au

Position Description - Lecturer, Computer Vision

Position Description - Senior Lecturer, Computer Vision

Applications Close:

6 July 2026 11.59 pm