We are seeking a Post-Doctoral Research Fellow Level B - Medical Machine
Learning to join the Australian Institute for Machine Learning, at the
University of Adelaide for a fixed term contract for up to three years.
Attractive remuneration package, including 17% super and excellent employee
benefits available, with additional project and travel funding.
The successful candidate will work as a medical machine learning postdoc at
the Australian Institute for Machine Learning in collaboration with
international pharmaceutical company GlaxoSmithKline.
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. The Australian Institute for Machine Learning (AIML)
is Australia's pre-eminent research institute in machine learning, AI and
computer vision and 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 and medical AI safety. We're committed to delivering
fundamental and commercially oriented research that's highly valued by our
local and global communities.
The specific project involves investigating issues related to the inductive
biases in commonly applied medical imaging AI models, and how these biases can
affect safety and fairness.
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
AI robustness and safety
Medical image processing and analysis
Experience collaborating with clinicians and/or medical researchers.
Track record of publications in top-tier Computer Vision, Artificial
Intelligence, AI ethics, or Medical Imaging conferences and/or journals,
or in high quality medical journals on AI topics, 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. Industry experience will be highly regarded.
We are strongly committed to diversity and inclusion as a research team and
encourage candidates from minoritised groups to apply.
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/
Enjoy an outstanding career environment
The University of Adelaide is 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.
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 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, 3 October 2022.
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:
Dr Kathy Nicholson
Australian Institute for Machine Learning
P: +61 (8) 8313 9258
M: +61 449 83 241
You'll find a full position description and/or selection criteria below: (If
no links appear, try viewing on another device)
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