(Level B) $111,031 to $131,335 per annum plus an employer contribution of 17% superannuation applies.

Four Full Time Positions Available | 24 Months Fixed Term

Be part of a world class, outcome-based research centre within a ‘Group of Eight’ University!

The State Government of South Australia, CSIRO and the University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI).

The new Responsible AI Research (RAIR) Centre will leverage AIML and CSIRO Data61s existing expertise to focus on the development of cross-cutting responsible AI research and address fundamental responsible AI problems at a sufficient scale for national and international impact. 

We are seeking motivated and experienced Postdoctoral Research Fellows B to undertake fundamental machine learning research for projects aligned to one of more of the following themes:

• Theme 1: Tackling misinformation, working on attribution and integrity for generative AI. 
• Theme 2: Safe AI in the Real world, working on foundational reasoning for tool use and physical interactions.
• Theme 3: Diverse AI, working on AI systems for safety and diversity. 
• Theme 4: AI that can explain its actions working on causal AI for a changing world.

The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including academics, research staff and students. The AIML works on a mixture of fundamental and commercially orientated research projects in computer vision and machine learning.

 To be successful you will need:

 • A PhD in Computer Science, Engineering or other Machine Learning-related field.

• Programming experience in python, C++ or other relevant language and experience in deep neural networks.

• Experience and demonstratable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference.

• An outstanding publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity.

• A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners

• Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience.

• Commitment to the principles of equity, diversity and inclusion.

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. Flexible working arrangements are on offer for all roles at the University.

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

Your department’s role

The AIML is the largest University-based computer vision and machine learning research group in Australia. Based in Adelaide, it currently number more than 200 members including academics, research staff, engineers and students.  The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine learning and has a very strong track record of publications in the top venues, and of successful technology transfer.

Learn more at: www.aiml.com.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 specifies which theme(s) aligns with your research interest as well as your response to all of the selection criteria for the position (as contained in the position description).

Applications will be reviewed as they are received, immediate applications and discussions are welcomed.

Applications close 11:55pm, January 19, 2025

The University reserves the right to close this advertisement before the closing date if suitable candidates are identified.

For further information

If you have any questions or would like to learn more about this role, please contact:

Professor Simon Lucey
Interim Director, RAIR
Director, AIML

E: Simon.lucey@adelaide.edu.au

The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.