Lecturer or Senior Lecturer (Digital Health & AI in Medicine)
- 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 jeffrey.chan@rmit.edu.au or any recruitment related questions can be director to Senior Advisor, Aleks Besia at Aleksandra.besia@rmit.edu.au
Position Description - Lecturer, Level B
Position Description - Senior Lecturer, Level C
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
Applications close on Monday, 11th of May 2026.
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