Postdoctoral Researcher (B) - AI Safety and Ethics in Medical Machine Learning (Australian Institute for Machine Learning)

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 environment.

To be successful you will need:

• Programming experience and expertise in Matlab, Python, or C++ or other relevant language
• Experience and demonstrable expert knowledge in one or more of the following areas:
  1. Representation learning
  2. AI robustness and safety
  3. Medical image processing and analysis
  4. Signal processing
  5. Deep learning
• 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 global significance. 

Learn more at: set.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 11:55 pm, 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
Operations Manager
Australian Institute for Machine Learning
P: +61 (8) 8313 9258
M: +61 449 83 241
E: kathy.nicholson@adelaide.edu.au

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.