"Postdoctoral Researcher in AI/ML for Lung Function Biomarkers"

• Based in College of Health at the North Adelaide facilities
• Full-time, 12-month fixed term contract
• Make a positive impact improving lung health, across a range of laboratory and imaging programs.

Role Summary

This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing technologies to lung ventilation data acquired from a functional lung imaging modality called X-Ray Velocimetry (XV).

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Work that matters

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 team

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.

Visit the AU website to learn more about our research group.

Experience

To join our community and thrive in this role, you will likely have the following skills and experience:

• 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.

Launch your future with Adelaide University now

Applying is simple. Simply click on the Apply Now button and upload:

• your current CV
• a cover letter that tells us why you’re excited about the role

Submit your application by 11:55pm 27 February 2026

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

For further information about this opportunity, please contact:

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