We are seeking a Post- Doctoral Research Fellow Level B to join the
Australian Institute for Machine Learning, at the University of Adelaide for a
fixed term contract for 12 months.
Attractive remuneration package, including 17% super and excellent employee
The successful candidate will work as a medical machine learning postdoc at
the Australian Institute for Machine Learning to engage in a collaborative,
multi-disciplinary project involving the University of Adelaide, Flinders
University, Flinders Medical Centre and the Women's and Children's Hospital.
Work will involve developing deep learning computer vision models with
clinical applications spanning neurology, neurosurgery, maxillofacial surgery,
and spinal surgery. The position is supported by The Channel 7 Children's
Research Foundation, South Australia Medical Imaging, and MS Australia.
The University of Adelaide is a member of Australia's prestigious Group of
Eight research-intensive universities and consistently ranks in the top 1% of
universities worldwide and The Australian Institute for Machine Learning
(AIML) is Australia's pre-eminent research institute in machine learning, AI
and computer vision. It is also the country's largest, with over 150 members,
including academics, research staff and students.
Our world-renowned researchers have established a culture of innovation and a
strong track record of publication in the top venues, particularly in the area
of computer vision. We're committed to delivering fundamental and commercially
oriented research that's highly valued by our local and global communities.
This is an outstanding opportunity to advance your medical machine learning
research career with a world-class institution and Hospital in a world-leading
To be successful you will need:
Programming experience and expertise in Matlab, Python, or C++ or other
Experience and demonstrable expert knowledge in one or more of the
Multimodal learning and representation.
Medical image processing and segmentation.
Contrastive learning and unsupervised/weakly-supervised learning.
Deep learning and neural networks.
Experience collaborating with clinicians and/or medical researchers.
Track record of publications in top-tier Computer Vision, Artificial
Intelligence or Medical Imaging conferences and/or journals, commensurate
with experience and opportunity.
A strong work ethic, with the ability to work independently, and as a
member of a broader team, including industrial partners.
The successful candidate will have a PhD in Computer Science or a related
discipline with equivalent industry experience.
You will work in one of the world's most talented and creative machine
learning teams, with constant research–engineering collaboration. You'll use
state-of-the-art technology and you'll be based in the heart of one of the
world's top 10 most liveable cities.
To learn more about working at AIML, visit: adelaide.edu.au/aiml/
Your faculty's broader role
The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub
of cutting-edge teaching and research. Many of its academic staff are world
leaders in their fields and graduates are highly regarded by employers. The
Faculty actively partners with innovative industries to solve problems of
Learn more at: set.adelaide.edu.au
If you have the talent, we'll give you the opportunity. Together, let's make
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, 20 July 2022.
For further information
For a confidential discussion regarding the opportunities currently available
at AIML, or that we could potentially create for you, please contact:
Dr Kathy Nicholson
Australian Institute for Machine Learning E:Kathy.email@example.com
T: +61 (8)831 39258
M: +61 449 833 241
The University of Adelaide is an Equal Employment Opportunity employer.
Women and Aboriginal and Torres Strait Islander people who meet the
requirements of this position are strongly encouraged to apply.
Download the Position Description Apply now