Visa Sponsored Job: Research Fellow – Australian Centre for AI in Medical Innovation (ACAMI) | La Trobe University, Melbourne

Institution: La Trobe University
Campus: Bundoora, Melbourne, Victoria, Australia
Position Title: Research Fellow – ACAMI
Work Type: Full-Time | Fixed-Term Contract (until 23 November 2029)
Salary: Academic Level B ($105,000–$125,000 AUD + 17% superannuation)
Job No.: 568871
Visa Sponsorship: Available for eligible applicants
Application Deadline: 15 June 2025 at 11:55pm (AEST)

Join La Trobe University as a Research Fellow in AI-Driven Medical Innovation

Are you a talented researcher with a passion for artificial intelligence (AI), machine learning, and their practical applications in the medical and biomedical sciences? Are you looking for a fully funded research opportunity in Australia that offers visa sponsorship, collaborative networks, and a clear path toward academic excellence and industry impact?

La Trobe University, one of Australia’s premier research institutions, invites applications for a Research Fellow position at the Australian Centre for AI in Medical Innovation (ACAMI). This is your chance to contribute meaningfully to a fast-growing field, solve real-world healthcare problems, and engage with interdisciplinary research teams on a global scale.

This opportunity is ideal for candidates seeking AI research jobs with visa sponsorship in Australia, postdoctoral opportunities in biomedical AI, or those targeting high-impact machine learning research jobs in healthcare.

What is ACAMI? (Australian Centre for AI in Medical Innovation)

The Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI) was established in 2024 as a collaborative centre for research excellence, clinical trials, and workforce development. Based at La Trobe University’s Bundoora Campus and backed by the Victorian Government, ACAMI brings together researchers, clinicians, AI scientists, and biotech industry stakeholders.

The mission of ACAMI is to empower Victoria’s globally respected medical research ecosystem with transformative AI capabilities. The Centre provides a platform to develop, evaluate, and implement cutting-edge AI tools that will be used in healthcare diagnostics, treatment planning, disease modelling, and patient monitoring.

ACAMI capitalises on La Trobe’s strength in AI, bioinformatics, cancer research, immunology, clinical trials, and digital health.

Whether your passion lies in deep learning for medical imaging, natural language processing for electronic health records, or predictive analytics in clinical trials—ACAMI offers the facilities, mentorship, and partnerships to turn your vision into a research reality.

Why This Position is Career-Defining

Joining La Trobe University and ACAMI means becoming part of an ecosystem designed to support cross-disciplinary research excellence with tangible societal impact. Here’s what you’ll gain:

A long-term research contract (until November 2029) that allows you to plan ambitious projects
Direct mentorship from renowned AI and medical experts including Professor Wei Xiang
Hands-on collaboration with biotech firms, medical research institutes, and government agencies
Access to advanced computing resources, datasets, and clinical networks
Work on transformative problems such as cancer diagnostics, personalised medicine, and real-time patient monitoring
National and international travel opportunities for conferences, symposiums, and collaborative work
Full visa sponsorship for international candidates, subject to eligibility

If you’re looking for one of the top AI postdoctoral jobs in Australia, this is it.

Your Core Duties and Responsibilities

As a Research Fellow, you will take on diverse and challenging responsibilities that bridge the gap between advanced research and real-world healthcare application:

1. Conduct High-Impact AI Research

Collaborate with ACAMI’s research teams to advance AI techniques for solving biomedical problems.
Develop, test, and optimise algorithms that improve healthcare outcomes and operational efficiencies.
Focus areas may include supervised learning, unsupervised learning, deep learning, federated learning, or reinforcement learning in health.

2. Translational Biomedical Innovation

Collaborate with clinicians, biologists, and biomedical engineers to scope out health challenges and propose AI-enabled solutions.
Contribute to design thinking, clinical trial integration, and real-time healthcare analytics.

3. Research Commercialisation and Industry Engagement

Participate in co-design workshops with biotech and med-tech firms.
Assist in translating research into prototypes, patents, and publications.

4. Grant Writing and Research Funding Development

Draft and contribute to high-quality grant proposals for funding bodies including NHMRC, ARC, and international partners.
Collaborate on contract research opportunities with medical device companies.

5. Team Building and Mentorship

Support ACAMI’s mission to build high-functioning research teams across multiple faculties.
Mentor research assistants, PhD candidates, and postgrads working within your project domain.

6. Technology Foresight and Knowledge Sharing

Stay up to date with AI innovations in biomedical engineering, data privacy, and healthcare analytics.
Present at international conferences, webinars, and university seminars.

Required Qualifications and Competencies

Minimum Requirements:

A completed PhD in:
- Artificial Intelligence / Machine Learning
- Bioinformatics / Computational Biology
- Biomedical Engineering
- Computer Science, or a closely aligned field

Technical Proficiencies:

Proficiency in programming languages such as Python, R, Java, or C++
Deep experience with TensorFlow, PyTorch, or Keras
Familiarity with statistical models, classification algorithms, and neural networks
Exposure to EHR datasets, genomic databases, or clinical trial data
Experience in developing reproducible research workflows

Publications and Academic Standing:

Multiple peer-reviewed papers published in high-impact journals (AI, medical informatics, or computational biology)
Conference presentations at IEEE, NeurIPS, ICML, MICCAI, ISMB or similar
Evidence of translating academic research into prototypes or applications

Work Environment and Collaborative Culture

You’ll be based at La Trobe University’s Bundoora campus, a vibrant and inclusive environment housing:

The School of Computing, Engineering and Mathematical Sciences
Access to wet labs, bioinformatics cores, and GPU clusters
Proximity to La Trobe’s cancer and immunology research labs
Cross-functional access to RMIT, Monash, and Austin Health partnerships

Bundoora offers the ideal balance between academic infrastructure and lifestyle perks, including green spaces, cafés, co-working zones, and proximity to Melbourne’s northern innovation corridor.

Benefits and Rewards

This role is embedded within a university ranked among the top 1.3% of universities worldwide and comes with a competitive remuneration and benefits package:

Academic Level B Salary: AUD $105,000–$125,000 (depending on experience)
17% employer-contributed superannuation
Visa sponsorship for eligible international candidates
On-campus childcare, cafés, and fitness centres
Flexible work arrangements, hybrid model available
Staff and family discounts for postgraduate and executive education courses
Funded travel for international collaborations and conferences

How to Apply – Step-by-Step

📅 Deadline: Sunday, 15 June 2025 – 11:55pm AEST

Submit Online Only: Apply Now

Required Documents:

A cover letter outlining your motivation and fit for the role
Your most recent CV/resume with a list of publications
A separate Key Selection Criteria document (as found in the official position description)

Contact Details

Academic Contact:
Professor Wei Xiang
Director & Chief Scientist, ACAMI
📧 W.Xiang@latrobe.edu.au | ☎ (03) 9479 3651

HR/Recruitment Contact:
Vicki Stavrou
Senior Talent Acquisition Business Partner
📧 v.stavrou@latrobe.edu.au | ☎ (03) 9479 5191

Equal Opportunity Statement

La Trobe University is committed to diversity, inclusion, and equity. We strongly encourage applications from:

Aboriginal and Torres Strait Islander Peoples
People from culturally and linguistically diverse backgrounds
Women in STEMM (Science, Technology, Engineering, Mathematics & Medicine)
People with disability and chronic illness
LGBTQIA+ individuals

The university offers interview flexibility and adjustment services to ensure accessibility for all candidates.

Additional Job Highlights

Job Category: AI in Healthcare, Bioinformatics Research, ML in Clinical Trials
Visa Pathway: Visa Sponsored Academic Research Jobs Australia, Global Talent Visa (GTI) eligible
Long-Term Contract: 2024 to 2029 – a unique five-year fellowship
Research Scope: AI for cancer detection, rare diseases, immunotherapy modelling, clinical trial data mining

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Visa Sponsored Job: Research Fellow – Australian Centre for AI in Medical Innovation (ACAMI) | La Trobe University, Melbourne

Join La Trobe University as a Research Fellow in AI-Driven Medical Innovation