Postdoctoral Research Fellow B

Postdoctoral Research Fellow B - Responsible AI Research Centre
Join to apply for thePostdoctoral Research Fellow B - Responsible AI Research Centrerole atUniversity of Adelaide
Postdoctoral Research Fellow B - Responsible AI Research Centre
Join to apply for thePostdoctoral Research Fellow B - Responsible AI Research Centrerole atUniversity of Adelaide
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(Level B) $114,917 to $135,932per annum plus an employer contribution of 17% superannuation applies.
Four Full Time Positions Available | 24 Months Fixed Term | Expected to commence February 2026.
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 now establishedResponsible 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

• Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate degree in mathematics, strongly encouraged to apply.

• 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, educational and community 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, with applications from traditionally under-represented groups within the Responsible AI community encouraged to apply, as well as those who may have experienced more unusual educational and/or career pathway, prior to completing their PhD.
The path to Adelaide University
We are on an exciting path to Adelaide University as we prepare to open our doors in January 2026.
Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, and we are dedicated to creating an accessible and future-focused educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching.
You can learn more about Adelaide University HERE and more information will be providedthroughout the recruitment process.
Enjoy an outstanding career environment
We offer a uniquely rewarding workplace.
The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - 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 ourStaff Values and Behaviour Frameworkand 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.
TheFacultyactively partners with innovative industries to solve problems of global significance.
Learn more at:set.adelaide.edu.au
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:
If you have the talent, we'll give you the opportunity.
Together, let's make history.
Click here to view the selection criteria and to apply for this opportunity.
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.
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:
Kate Klimeš
RAIR Program Manager, RAIR Centre
We are an Equal Employment Opportunity employercommitted 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.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Research
Industries
Research Services and Higher Education
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