Overview:

• 1 x Full time, ongoing position available to join the School of Computing Technologies, Discipline of Data Science and Artificial Intelligence
• 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

The School is seeking a Lecturer or Senior Lecturer to contribute to teaching, research, and professional engagement. You will deliver high-quality programs across undergraduate and postgraduate levels, coordinate courses, and collaborate with colleagues, the University, and external partners. The role involves leading and participating in impactful research, with Senior Lecturers expected to provide research leadership, attract funding, and embed expertise into the School's activities.

We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and predictive modelling in biomedical, clinical, or bioinformatics contexts. A strong Computer Science foundation with experience or interest in biomedical applications and improving human health is essential.

Key areas include:

• AI in Medicine & Digital Health
• Computational Medicine / Biology
• Advanced Bioinformatics & Digital Phenotyping
• Drug Repositioning / Multi-modal Data Integration
• Knowledge-based Biomedical Data Analysis

This is an exciting opportunity to contribute to teaching excellence, research leadership, and advancing Digital Health and AI in Medicine.

About You

To be successful for this position, you will have:

• Experience coordinating and delivering undergraduate and postgraduate programs in Computer Science, Software Engineering, IT, Cyber Security, AI, or Data Science, including high-quality curriculum and innovative, student-centred approaches.
• Ability to manage large programs or multiple smaller programs and undertake course coordination roles.
• Ability to support and engage effectively with students to enhance learning outcomes.
• Emerging or established research track record with publications in high-quality outlets.
• Experience in research leadership, including building collaborative teams, mentoring staff, attracting funding, and managing complex research projects.
• Experience supervising higher degree by research candidates.
• Ability to manage academic teams and support the development of less experienced staff.
• Understanding of and commitment to financial, governance, and quality management in a university setting.
• Strong interpersonal, communication, and negotiation skills for engaging with staff, students, industry, and senior executives.
• Ability to build networks and collaborations across academia, industry, and government to support research and funding initiatives.

Qualifications

Mandatory: PhD or equivalent 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 hiring manager Professor Jeffrey Chan, Associate Dean, Data Science & Artificial Intelligence at j***@***********.edu.au or any recruitment related questions can be director to Senior Advisor, Aleks Besia at A***@***********.edu.au

Applications Close: 11 May 2026 11.59 pm

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 t***@***********.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.

We are a Circle Back Initiative Employer – we commit to respond to every applicant.