4X Postdoctoral Research Fellow B

Level B) $114,917 to $135,000 per 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 Responsible AI Research (RAIR) Centre will leverage AIML and CSIRO Data61's 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 with one or 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 oriented 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 fields.
• Programming experience in Python, C++, or other relevant languages 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 demonstrable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks, 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 part of a broader team, including with industrial, educational, and community partners.
• Fluency in written and spoken English, with the ability to communicate scientific ideas to an expert audience.
• Commitment to the principles of equity, diversity, and inclusion. Applications from traditionally under-represented groups within the Responsible AI community are encouraged, as well as those with unconventional educational and/or career pathways.

The path to Adelaide University

We are on an exciting path to Adelaide University, opening in January 2026. Adelaide University will combine the strengths of the University of Adelaide and the University of South Australia, aiming to create an accessible, future-focused educational powerhouse that fosters economic and social wellbeing through groundbreaking research and innovative teaching. More information about Adelaide University will be provided throughout the recruitment process.

Enjoy an outstanding career environment

We offer a uniquely rewarding workplace. Our extensive education and research programs, including significant industry, government, and community collaboration, provide vast scope and opportunity for a long, fulfilling career.

This environment attracts high-caliber colleagues, many of whom are world-leading. Our work is at the cutting edge across virtually all human endeavors, providing constant inspiration.

Our culture welcomes all and embraces diversity, aligned with our values of integrity, respect, collegiality, excellence, and discovery. We believe our people are our most valuable asset, and we strive to grow and diversify their skills, knowledge, and capabilities.

We embrace flexibility to help our staff manage changing demands of work, personal, and family life.

We also offer attractive staff benefits, including salary packaging, flexible work arrangements, professional development programs, and on-campus health, gym, and fitness facilities.