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Explore ways to partner with AIML

Connect with us to explore opportunities to collaborate, innovate, and make an impact in machine learning and artificial intelligence across research, education, and industry. Whether you’re a student, researcher or business, explore ways to engage with AIML.

Industry solutions partnerships 1
Scholarships 2
Get involved 3

AIML partners with business, government, and industry to deliver practical machine learning solutions that drive innovation and efficiency.

How can we support you?

AIML’s Industry Solutions team combines hands-on engineering with academic expertise to deliver practical AI and machine learning outcomes. Based at Lot Fourteen in Adelaide’s innovation district, our team works alongside leading researchers, offering direct access to collaboration, consultancy, and opportunities that help progress your projects.

We deliver outcomes in two distinctly different ways:

Consultancy	Research
Practical, hands-on solutions	Academic exploration and discovery
Collaborative research and development (R&D)	Primarily for collaborative academic research projects
Open to all businesses, individuals, organisations and government. No research focus required	Open to industry and government organisations. Research focus required
Focused on immediate, actionable outcomes	Long-term innovation and theoretical advancements
We can offer solutions that leverage best-in-class cloud-based platforms or custom private hardware tailored to your needs	Publications and academic contribution

To enquire about partnering with our Industry Solutions team for your business or research project, please contact us using the form below.

We are investing in South Australian businesses

Resources are available to support local small and medium enterprises (SMEs) with developing new AI-based products.

AIML’s Industrial AI SME Grant Program is funded by the Government of South Australia to support the development of core capability in industrial AI, driving economic growth and job creation in South Australia and across the nation in a range of sectors.

Learn more

Read our case studies with SA businesses

For inquiries specific to the Industrial AI SME Grant Program, please contact AIMLIndustrialAI@adelaide.edu.au.

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We couldn't have done it without that early support from AIML, who assisted in pointing us towards a more robust commercial solution.

Think.Digital

Katherine Bidstrup, CEO

Quotation mark

We are pleased to offer funding and scholarship opportunities for prospective graduate researchers. Please see below for a current list of scholarships.

This opportunity will support a PhD candidate to develop a research project aligned with the Centre’s core themes to build trustworthy and bias-aware AI systems, advance responsible reasoning and forecasting in deep learning, or to develop scalable, resource-efficient models for large-scale AI applications. The scholarship is valued at $40,000 AUD per annum and offers the opportunity to study at world-class research environment at AIML, collaborating with academic leaders and industry experts in foundational AI research.

How to apply

Please send a copy of your CV and academic transcript to Rosa Pearson.

Open until filled.

The CSIRO NGGP Scholarship has been established to support exceptional students engaged in advanced research in computer vision. The scholarship is valued at $15,000 payable in two equal instalments after each census date in March and August.

How to apply

Applicants must be Australian citizens enrolled on a full-time basis in an approved honours program. Relevant checks (National Police Check, Australian Government security clearance) will be required. Scholarship holders must complete a 6-day work placement. Acceptance of the scholarship cannot be deferred.

This project was made possible by CSIRO’s Next Generation Graduates Program, an initiative that provides funding and support to attract and train the next generation of technology specialists.

Apply now

List of projects and supervisors

Dr Feras Dayoub	Continual learning for mobile robot visual memory Continual learning and adaptation of resilient vision models in uncertain real-world environments
Dr Ravi Garg	Robust localisation and tracking with implicit and semi-explicit maps Self-supervised learning of single and multi-view splat
Dr Josh Chopin	Evaluate the effectiveness of various adversarial machine learning techniques on Synthetic Aperture Radar (SAR) imagery
Associate Professor Belinda Chiera	Responsible AI, bias-aware machine learning, and data visualisation
Dr Lui Cirocco	BNN methods to investigate classification uncertainty qualification in identifying objects in a Navy UAV video dataset of maritime objects
Dr Quoc Viet Vo	Develop models that can incrementally learn about new data without forgetting previously acquired knowledge, a common issue known as catastrophic forgetting Development and application of continual learning algorithms that enable machine learning models to adapt and improve continuously in dynamic environments

Launched in 2024, AIML’s Industrial AI program supports the development of core capability in industrial AI, driving economic growth and job creation in South Australia and across the nation in a range of sectors. As part of the program, AIML is offering competitive scholarships for high achieving domestic and international students.

AIML’s Industrial AI program is funded by the Government of South Australia to support the development of core capability in industrial AI, driving economic growth and job creation in South Australia and across the nation in a range of sectors.

AIML Industrial AI Program Supplementary Scholarship (MPhil)

Eligibility

Applicants must be citizens of Australia, the United Kingdom, or the United States of America, or Australian permanent residents who are acceptable as candidates for a Master of Philosophy (MPhil) degree (refer to eligibility) at Adelaide University.

Stipend

The scholarship will be tenable for up to 2 years and has a stipend of $10,000 per annum.

For further information please contact:

Hilary Brookes
Executive Officer, Events, Culture, and Engagement
hilary.brookes@adelaide.edu.au

For all scholarships and research projects managed centrally by the Adelaide University Graduate Research School, please visit the Adelaide University Scholarships page.

View research opportunities

1. Background and rationale

Artificial intelligence (AI) is rapidly transforming how societies learn, work, and solve global challenges, yet many students use AI tools without understanding how they work, the ethical risks involved, or the importance of human judgement. The Responsible AI Impact Challenge (RAIIC) addresses this gap by empowering students to critically, ethically, and creatively engage with AI through real-world problem solving, collaboration, and research-driven learning.

Students will develop:

AI Understanding – how AI systems work
Ethical Thinking – fairness, bias, responsibility
Human–AI Collaboration – what humans should decide
Innovation Skills – solving real-world problems

2. Target participants

The Challenge is made up of two challenges:

Primary - targeting Year 6 students
Secondary - targeting students in Years 7–9

Team structure - Teams from each participating school will consist of:

3–5 students
One teacher to support the team
An industry mentor for guidance provided by the Responsible AI Research (RAIR) Centre

3. Challenge structure

Primary submission format – Year 6

Topic: Explore AI in everyday life

Year 6

Challenge statement

How might we guide students to responsibly integrate AI into their everyday lives—such as for homework assistance, sports development, and social interaction—while preserving genuine human connection and preventing an over-reliance on technology?

Overview

As AI assistants and digital companions become increasingly common in students' daily routines, the boundary between human and machine interaction is blurring. While AI offers highly tailored support for learning and personal development, there is a growing concern about over-reliance and the potential loss of authentic human empathy. Students must critically reflect on how to balance the convenience of AI with the irreplaceable value of real-world human connections and responsible use.

Teams are requested to create a visual presentation (with voiceover) OR a video of up to three (3) minutes to demonstrate a scenario.

At the conclusion of the presentation / role play video, students are asked to provide a reflective explanation / summary via video presentation. This conclusion is to form part of the three-minute presentation.

Secondary submission format – Years 7-9

The secondary competition is designed as a two-stage programme that combines digital submission with a live final event.

Stage 1 — Online submission (Preliminary round)

Topic: Tackling the use of Generative AI for creating Industry products and services

Years 7- 9

Challenge statement

How might we design an innovative product that uses AI to solve a real-world problem, while ensuring the technology is used responsibly, transparently, and in ways that recognise its limitations and potential impacts on individuals and society?

Overview

Artificial Intelligence is increasingly embedded in products that shape how we learn, communicate, and make decisions. While it enables powerful features like personalisation and automation, it also raises challenges such as bias, over-reliance, and lack of transparency. In this challenge, students will design and pitch an AI-enabled product that solves a real-world problem, while critically evaluating how AI is used, where human judgement is needed, and what risks or limitations must be addressed. Examples might include an AI nutrition assistant, a mental health support app, a sports training tool, or an AI-powered study buddy.

Industry partners may provide specific real-world challenge prompts to guide final solutions.

Teams are requested to provide a product pitch and a responsible AI breakdown which may be done via a video submission or visual presentation no longer than five minutes.

For more information relating on the 7-9 challenge, including what the pitch should include and the final presentation format, please read additional information on the RAIIC 2026 Challenge.

Stage 2 — Secondary final event

The secondary competition will be judged by an expert panel and the top three (3) finalists in each State will be invited to present at the final in-person events held in Adelaide or Sydney.

4. Prizes

Winners will receive a trophy (Primary and Secondary)
Merchandise donated by our sponsors
Secondary winners will receive a prize as arranged for their state with industry sponsor (i.e., Lockheed Martin excursion or CBA), consisting of a site visit with speakers/staff speaking about career path
All entries will receive a participation certificate

5. Judging framework

Judging process and timeline

Submissions for both categories will close on 3 July.

The judging panel will comprise 4-5 members and be judged between 6-15 July.

The judging rubric is available in the RAIIC 2026 Challenge document.

6. Registration

Complete an expression of interest form via the link below. Applications close 1 June.

RAIIC 2026 Expression of interest form

Schools will be notified via email on 2 June if they have been selected to participate in the challenge.

7. Key dates

19 May	Launch and expression of interest open
1 June	Expression of interest close
2 June	Notification of acceptance sent to schools
5 June	Allocation of Mentors
3 July	Entries close
6 – 15 July	Judging period
21 July	Winners announced (Primary) Finalists announced (Secondary)
13 August (TBC)	Live event (Adelaide)
18 August (TBC)	Live event (Sydney)

Download the information sheet

Contact information

This is an initiative of the Responsible AI Research (RAIR) Centre is a landmark collaboration of experts from Australia’s national science agency, CSIRO and Adelaide University, in partnership with the South Australian Government.

Contact email: raircentre@adelaide.edu.au