Associate Professor (Research), Australian Centre for AI in Medical Innovation (Williamstown)

Associate Professor (Research), Australian Centre for AI in Medical Innovation (Williamstown)

05 Aug
|
Times Higher Education
|
Williamstown

05 Aug

Times Higher Education

Williamstown

Organisation/Company LA TROBE UNIVERSITY Research Field Computer science Medical sciences Researcher Profile Leading Researcher (R4) Established Researcher (R3) Application Deadline 9 Aug 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

- Build strong funding pipelines by proactively identifying emerging opportunities
- Full Time / 3 Year Fixed Term Appointment / Remuneration from $172,864 / Bundoora Campus
- Provide high level oversight of research projects and nurture solid industry, clinical and health sector partnerships

About the position

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

Founded in 2024, ACAMI is a collaborative centre spanning research, clinical trials, and workforce development at the intersection of AI and healthcare. It supports medical research institutes and industry partners, strengthening Victoria’s globally recognised life sciences ecosystem and ensuring it keeps pace with emerging AI advancements.

Reporting to the Director and Chief Scientist of ACAMI, the Associate Professor (Research) will collaborate closely with the Director and Chief Scientist, Director of Development, the ACAMI team, and both internal and external stakeholders to advance ACAMI’s mission. This includes positioning the centre as a commercially sustainable entity that leverages AI, data and innovation to drive transformation and growth across AI-enabled medical and biomedical ecosystems in Victoria.

The appointee will be expected to establish, attract and lead new research programs and teams within ACAMI, building capability by bringing together high performing researchers, postdoctoral fellows, academic collaborators, clinical partners and industry stakeholders around key AI-driven medical innovation themes. The role will provide senior research leadership likely in computational biology or AI in biomedicine while strengthening ACAMI’s research profile, expanding its external funding base, and enhancing its translational impact.

Duties at this level:

- Attract,



establish and integrate new research groups or research clusters into ACAMI, including identifying complementary research capabilities, engaging internal and external collaborators, developing major research plans and building sustainable programs supported by external funding and strategic partnerships.
- Secure significant external research funding from both industry and government sources by initiating large-scale competitive research funding proposals and building collaborative partnerships.
- Lead major research projects and emerging research groups within the Centre, guiding teams under ACAMI’s Director & Chief Scientist to deliver impactful AI solutions for real-world medical, biological and clinical challenges.
- Collaborate with ACAMI’s Director, Development and relevant University research, commercialisation and partnership teams to identify, protect and progress intellectual property, software, product and implementation opportunities arising from ACAMI research, including industry co-development, licensing, commercialisation or clinical adoption pathways.

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 mRNA, Computational Biology, Biomedical Informatics, Bioinformatics, Computational Medicine, or a related field.
- A substantial and internationally recognised record of excellence in AI-enabled biomedical, biological, clinical, health or medical innovation, demonstrated by applying AI/ML, computational, data-intensive or related approaches to significant medical and health challenges.
- A significant record of securing substantial external funding and partner investment to support AI-enabled biomedical, clinical, health or medical innovation, including through competitive grants, industry partnerships, government contracts, philanthropic funding and consultancies,



with evidence of using such funding to build research capacity, support research teams and grow sustainable research programs.

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

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

Recruitment Enquiries: Vicki Stavrou, Senior Talent Partner, Strategy and Senior Appointments Email: [email protected]

Only candidates withFull Working Rights in Australiamay 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 theWorking 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 CodeonGender Based Violencein 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 previousemployment 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,abuseor threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.

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📌 Associate Professor (Research), Australian Centre for AI in Medical Innovation (Williamstown)
🏢 Times Higher Education
📍 Williamstown

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