"Research Fellow in Artificial Intelligence"

• Join the Department of Mechanical and Product Design Engineering
• Full-time, 12-months fixed term position at our Hawthorn campus
• Academic Level B salary + 17% super and staff benefits

About the Role

We are seeking an experienced Research Fellow to join our Department of Mechanical and Product Design Engineering at Swinburne University to conduct research in the areas of Artificial Intelligence (AI), large language models (LLMs), natural language processing, computer vision, and related methods for data analytics, human–machine interaction and decision support.

In this role, you will have the opportunity to work closely with researchers at Swinburne University, other universities and research institutions, and industry partners to design and develop software solutions that leverage AI technologies to address complex real-world problems.

We are seeking candidates who can work with a high degree of autonomy and are able to demonstrate initiative and responsibility in achieving the research goals under the leadership of the Chief Investigators of the project.

About You

To be suitable for this role you will need to have experience in the below key accountabilities:

• Demonstrated expertise in developing and applying advanced AI methodologies, including LLMs, computer vision, and multimodal vision-language systems for real-world decision-support applications.
• Strong capability in simulation, agent-based modelling, and statistical or computational modelling for complex, dynamic systems, including human–AI collaboration frameworks and autonomous agent design.
• Experience in fine-tuning, training, and deploying transformer-based AI systems; implementing domain adaptation, few-shot learning, and multimodal reasoning techniques across heterogeneous environments.
• Proficiency in Python and machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face), with demonstrated experience in software development, user-focused tool creation, and interface or pipeline implementation for AI-driven applications.
• Proven track record of high-quality research outputs, including publications in AI or related areas, demonstrating the ability to drive impactful academic contributions.

Qualifications

• A PhD in Engineering or Information and Communication Technology, or equivalent qualification.

About Swinburne University of Technology

Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research.

Our Ad Astra strategy is the cornerstone of Swinburne’s bold ambition to lead globally in technology-driven education and research. This strategy positions us to create transformative solutions, empower learners, and partner with industry to thrive in an ever-changing world.

What We Offer You!

• Work your way with flexible working arrangements, including hybrid options and generous parental leave to support a balanced lifestyle.
• Exclusive staff discounts, including discounted Medibank health insurance, 50% off Swinburne courses and other partner offers.
• Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions.

Want to learn more? Head over to our benefits page!

To Apply

Please submit your CV and Cover Letter addressing the Key Selection Criteria and your suitability for this position.

To review the Position Description and to apply, please scroll down to the bottom of the page.

If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page.

Please Note: Appointment to this position is subject to passing a Working with Children Check.

If you are experiencing technical difficulties with your application, please contact the Swinburne Talent Acquisition Team on talentacquisition@swin.edu.au.

Applications Close: Tuesday, 10 March 2026 at 5:00pm AEDT

Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance.

Diversity, Equity and Inclusion

Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world.

Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age.

We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership.

We support applicants with disabilities. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats for the PD, application form or any other document, please contact at DCR@swin.edu.au or call +61 3 9214 3550.

Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent to talentacquisition@swin.edu.au (general enquiries will not be answered by phone).

Victoria’s Commitment to Action: Improving international student employment outcomes.

As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.

As a Circle Back Initiative Employer, we commit to responding to every applicant.

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Click here for the Position Description