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Research Fellow, Australian Centre for AI in Medical Innovation

La Trobe University -
Bundoora VIC

Apply Now

Job Details

Full-time
From $118,530 a year
7 days ago

Benefits

Insurance services

Qualifications

Doctoral degree
Research
Working with children
Recruiting
Working with Children Check
AI

Full Job Description

Research Fellow, Australian Centre for AI in Medical Innovation

Job No.:570692

Work type:Fixed Term

Full-Time, fixed-term appointment up to 3 years
Melbourne (Bundoora) location
Classification: Level B - Base salary from $118,530 + 17% superannuation

About the position

The Victorian Government has partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence (AI) in Medical Innovation (ACAMI).

Established in 2024, ACAMI is a collaborative research, clinical trials and workforce development centre operating at the intersection of AI and medical innovation. The Centre supports local medical research institutes and industry partners, delivering new and additional capabilities to ensure Victoria’s world-leading medical innovation and life sciences research ecosystem maintains pace with global standards and opportunities as AI capability develops.

The appointee will support ACAMI research programs, contribute to engagement with industry, clinical, health-sector and medical research partners, and work with ACAMI’s Director, Development, to help translate research outcomes into practical tools, software, prototypes, workflows and partner-facing applications.

Duties at this level:

Conduct and contribute to high-quality research in AI-enabled medical, biomedical, biological and health innovation under the direction of ACAMI’s Director & Chief Scientist and senior researchers, contributing to new methods, validated applications and practical solutions for significant medical and health challenges.
Work with ACAMI’s Director & Chief Scientist, ACAMI’s Director, Development, senior researchers, and external partners to help scope real-world medical, biomedical, biological, clinical and health challenges; contribute to co-designed research approaches; and develop, validate or document AI-enabled tools, software, models, workflows, prototypes or partner-facing outputs.
Draft competitive research proposals and contribute to external funding initiatives and partner-funded projects, including through industry partnerships, government agencies, health-sector partners, or equivalent mechanisms.

Skills and knowledge:

Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area, such as AI/ML for medical/biomedical innovation, Bioinformatics, Computational Biology, or a related field.
An established record of high-quality research applying AI/ML, computational, data-intensive or related approaches to medical and health challenges, including in AI-enabled medical, biomedical, biological, clinical, health or related innovation areas.
Demonstrated ability to draft competitive research proposals and contribute to external funding initiatives, in collaboration with senior researchers, industry partners, government agencies, health-sector partners, or other external stakeholders.
Demonstrated ability to produce high-quality research outputs, including publications in top-tier AI, bioinformatics, computational biology, digital health or interdisciplinary venues; presentations at relevant conferences; and/or contributions to software, tools, datasets, prototypes, implementation materials or partner-facing deliverables.

Please refer to the position description for other duties, skills and experience required for this position.

Welcome to Bundoora campus – Please click on the video link below:

https://f.io/KDo0ceng

Benefits

17% superannuation
Private Health Insurance discount
Plus, many more, click HERE

How to apply

Closing date: Sunday the 9th of August, 2026, at 11:55pm

Position Enquiries: Distinguished Professor Wei Xiang, ACAMI Director and Chief Scientist, School of Computing, Engineering and Mathematical Sciences, Email: [email protected]

Recruitment Enquiries: Maddy Parker, Consultant Talent Acquisition and Candidate Coordinator Indigenous

Email: [email protected]

PD Research Fellow, Australian Centre for AI in Medical Innovation.docx

La Trobe University and ACAMI Research Scientist Flyer:

Please submit an online application ONLY and include the following documents:

A Cover letter;
An up-to-date resume and
A separate document addressing the Key Selection Criteria located in the PD.

We’d love to stay connected! If you would like to find out more about this School, please follow us on LinkedIn:

School of Computing, Engineering and Mathematical Sciences: https://www.linkedin.com/company/82850345

Only candidates with Full Working Rights in Australia may apply for this position.

Aboriginal and Torres Strait Islander Applicants

We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

Our commitment to diversity and inclusion

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

Our commitment to safety

All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.

National Code on Gender Based Violence in Higher Education

La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.

Advertised:09/7/2026

Closing Date:09/8/2026

Apply Now

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