Melbourne, Victoria, Australia
Onsite
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.
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
Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.
RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.
In line with RMIT University’s commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes. All applicants will be required to complete a gender‑based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Preferred candidates will also be required to undertake relevant pre‑employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT’s safety obligations.
At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.
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