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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
AIML summer grand challenge 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 about the Industrial AI SME grant program

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

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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 Dr Kathy Nicholson.

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

The AIML Summer Grand Challenge is a machine learning competition designed to solve real-world problems using applied AI, engaging the talents and skills of undergraduate and postgraduate students at Adelaide University.

The inaugural AIML Summer Grand Challenge is inviting interdisciplinary student teams to apply machine learning to real datasets provided by researchers within the University, industry or government, to solve specific data-driven problems. Students will work in teams to develop predictive models, collaborating closely with leading researchers and experts in machine learning. The challenge offers a chance to build their portfolio, showcase their skills, and compete for recognition and potential future research opportunities. Prizes to be announced.

Key dates for 2025–2026

Launch: 20 October 2025
Team registration deadline: 15 December 2025
Competition closes: 14 February 2026 (11:59 PM ACDT)
Winner announcement: 16 February 2026
Awards ceremony: 20 February 2026, 4:00 PM at AIML. Winners will be announced at the awards ceremony.

Competition overview

The competition will provide a problem statement and a dataset, typically split into training data (which includes labels) and test data (which does not). The 2025–2026 challenge focuses on predicting lettuce dry shoot weight from RGB and depth images.
Participants develop and train machine learning models using the training data, then make predictions on the test set.
Submissions are evaluated against unseen ground-truth data, and results are displayed on a leaderboard (with both public and private versions to ensure fair evaluation and limit overfitting).
The evaluation process will assess model performance (i.e. accuracy, F1-score, RMSE), code clarity and documentation, reproducibility of results, and practical relevance to real world applications.
Participants must also provide a brief technical report (max 4 pages) with source code explaining methodology, preprocessing, and model design.
There are usually limits on the number of daily submissions to prevent brute-force approaches.
When the competition ends, final rankings are determined using the private leaderboard, and prizes are awarded to the top performers.
Top teams will be invited to present their work to representatives at AIML.

The use of external data or public benchmarks is not permitted for this competition. Each team may only make one daily submission of original work. Competition organisers reserve the right to disqualify teams for any misconduct.

Forming a team and eligibility

The AIML Summer Grand Challenge is open to students at Adelaide University enrolled in an undergraduate or postgraduate degree.
There is a maximum of 3 members per team. Interdisciplinary participation is welcome and encouraged.

Prizes

Total prize pool: $8,000

1st Prize $3,000 – Team including graduate research students
1st Prize $3,000 – Team of undergraduates
Runner-Up $1,000 – Graduate research student category
Runner-Up $1,000 – Undergraduate category

Data specifications

Datasets for current and future iterations of this competition will be derived from the research priorities of Adelaide University:

Creative and cultural
Food, agriculture and wine
Sustainable green transition
Defence and national security
Personal and societal health
Aboriginal and Torres Strait Islanders

For more information on these themes, please visit Research at Adelaide Unversity.

Resources

The AIML Summer Grand Challenge is modelled on Kaggle competitions, online competitions where participants build and submit machine learning models to solve specific data-driven problems using provided datasets. Visit the Kaggle website for more information on this format.

Enquiries

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

Contact us

Australian Institute for Machine Learning

Location
Australian Institute for Machine Learning
Adelaide University
AIML Building, Lot Fourteen, Cnr North Terrace & Frome Road
Adelaide SA 5000