(Level A) $102,024 to $109,307 per annum plus an employer contribution of 17% superannuation applies.

Fixed term fulltime position for 1 year with possibility for extension pending grant funding.

The Respiratory X-ray Imaging Lab (ReXIL) were the recent recipients of an Australia’s Economic Accelerator (AEA) Innovate grant to support the translation and commercialisation of university research.

This will allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data acquired from a functional lung imaging modality called X-Ray Velocimetry (XV).

XV is a revolutionary lung imaging technology developed by Australian company 4DMedical. XV enables lung motion and airflow to be tracked over time. This allows the location and intensity of lung disease, and its resolution with treatment, to be measured. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data.

The successful applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease progression, and identifying patterns in imaging data that correlate with clinical outcomes. We anticipate the project will lead to production of scientific papers and dissemination of results through conferences.

The ReXIL and Cystic Fibrosis Airway Research Groups are a team based in Respiratory Medicine at the Women’s and Children’s Hospital. We are dedicated to developing approaches to improving and quantifying lung health, across a range of laboratory and imaging programs.

The position will be based primarily at the Women’s and Children’s Hospital in North Adelaide and the Australian Institute of Machine Learning.

Some interstate and international travel may be required.

To be successful you will need:

• Completion of a relevant doctoral qualification using image processing, artificial intelligence / machine learning or data science/advanced statistical methods.
• Strong experience with scientific computing and data analysis, ideally using python or an equivalent language.
• A strong record of producing peer reviewed research-based publications in areas directly related to image processing or artificial intelligence / machine learning.
• Demonstrated high level organisational skills, including the ability to plan and coordinate projects, prioritise and manage workload within a busy environment and to meet deadlines, and function largely autonomously with excellent problem-solving capabilities.

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

We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - 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.

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

Your faculty's broader role

The Faculty of Health and Medical Sciences contains one of Australia's largest concentrations of leading health researchers, teachers and clinical titleholders. It's comprised of eight schools and a number of specialist disciplines, institutes and centres, variously focused on world-class research, and training the next generation of: medical doctors; surgeons; dentists; nurses; psychiatrists; psychologists; and other health professionals.

Learn more at: health.adelaide.edu.au

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, 18 September 2025.

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

For further information

For a confidential discussion regarding this position, contact:

Martin Donnelley
Associate Professor | Women’ and Children’s Health
P: +61 (8) 8161 9181
E: martin.donnelley@adelaide.edu.au

Or

Taryn Giles
Senior Talent Acquisition Officer
P: +61 (8) 8313 4803
E: taryn.giles@adelaide.edu.au

You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)

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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