Description:
- 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).
At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive.
We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow.
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.
Curious to learn more? Explore the full role description below to discover more about this opportunity.
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 here.
Our people
Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence.
This role is perfect for someone who enjoys variety and meeting new people. You will experience a range of tasks and interactions, keeping your workday interesting and engaging.
Perfect for researchers who enjoy a stimulating environment, this role involves collaboration and innovation.
Learn more about our people, what we stand for and what we offer at Careers at AU.
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.
Our commitment to inclusion and diversity
We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.
Launch your future with Adelaide University now
Applying is simple. Simply click on the Apply Now button and upload:
- your current CV
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’ and Children’s Health
P: +61 (8) 8161 9181
E: martin.donnelley@adelaide.edu.au