Grant-Funded Researcher (B) - Centre for Augmented Reasoning

Job no: 517396
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Level B, Faculty of Sciences, Engineering and Technology

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Level B at $114,917 to 135,932 per annum plus an employer contribution of 17% superannuation applies.

Full-time fixed term position, available until December 2027.

Flexible work arrangements can be negotiated with the right candidate.

Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning.

This postdoctoral research position lies within the Centre for Augmented Reasoning (CAR), that forms part of the Australian Institute for Machine Learning (AIML). It offers the opportunity to carry out research within a world-class team working at the intersection of computer vision and natural language processing. The appointed candidate/s will be working directly with CAR Director and Chief Scientist of AIML, Prof Anton van den Hengel and his research team to publish research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever-changing and fast-paced sector. The position is funded by CAR, a 20-million-dollar investment by the Commonwealth to enable machine learning research, strategic development of programs and translation of high impact research into the Australian community.

The tasks of the postdoctoral researcher will include:

  • To work closely and proactively with Prof Anton van den Hengel to scope and develop research ideas.
  • To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted.
  • Following design standards and principles, to determine the specification, design and benchmarking/testing of software, components, interfaces, and related characteristics.
  • To develop and iterate prototypes that provide solutions for end-users.
  • To establish and maintain stakeholder relationships through effective communication, negotiation and issues management to engage stakeholders and ensure project deliverables are met.

Outputs will include:

  • Project scoping and problem analysis reports.
  • Research publications in high-quality journals and conferences.


This exciting role will contribute to the Centre for Augmented Reasoning’s objective to build world-class research and engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia.

To be successful you will need:

1.   A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic engineering, or in a related discipline.

2.   Programming experience and expertise in Python and ML platforms such as PyTorch, including a track record of effective deployment of these within artificial intelligence or machine learning projects or client problems.

3. Experience in computer science with a background in mathematics will be considered valuable.

 

Desirable characteristics:

  1. Engineering experience in the translation of machine learning, or related research, into an applied or client context.
  2. Experience in delivering working software and integrated software solutions, preferably in the Agile software development methodology.
  3. Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms.
  4. Experience in Deep Learning techniques and solutions used in commercial software development.
  5. A track record of publications in machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals.


Preference will be given to Australian citizens, Australian permanent residents, or New Zealand citizens.

 

The path to Adelaide University

We are on an exciting path to Adelaide University as we prepare to open our doors in January 2026. Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, and we are dedicated to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process.

Enjoy an outstanding career environment

AIML is Australia’s leading research institute in machine learning and artificial intelligence. AIML’s computer vision research is among the best in the world. With world-leading researchers, modern facilities and an innovative culture, we’re committed to delivering research that is highly valued by our local and global communities. Located at Lot Fourteen, Adelaide, AIML is the largest computer vision and machine learning group in Australia with more than 170 members including academics, research staff, and students. The institute works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning. Find out more at www.adelaide.edu.au/aiml

The Centre for Augmented Reasoning (CAR) is a $20M investment by the (then) Department of Education, Skills and Employment in people and research to make computers better at interacting with humans so that all technology is easier and safer to use. Managed under AIML, the Centre is supporting Advanced Reasoning research through grants and PhD scholarships, facilitating innovation and rapid commercialisation, and increasing artificial intelligence (AI) literacy and engagement in Australia.

We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work’s cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

If you have the talent, we’ll give you the opportunity. Together, let’s make history.

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

 

Applications close: 11:55pm (South Australia time), 19th October 2025.

 

For further information

For a confidential discussion regarding this position, contact:

Dr Nisha Schwarz

Program Manager, Centre for Augmented Reasoning

E: nisha.schwarz@adelaide.edu.au 

You’ll find a full selection criteria document below: (If no links appear, try viewing on another device or in a different web browser)

The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified

We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application. 

 

 

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