CSIRO is offering a 3-year CERC Postdoctoral Fellowship in Intelligent Systems for Breeding Innovation, based in Brisbane or Canberra, Australia. This opportunity is ideal for emerging researchers eager to apply artificial intelligence to real-world biological and agricultural challenges. The position is situated at the intersection of AI, genomics, crop improvement, and advanced statistical machine learning, with a focus on developing AI-driven strategies such as large language models and collaborative multi-agent systems to support decision-making in crop breeding.

The successful candidate will integrate genomic, phenotypic, and environmental datasets into machine-readable frameworks to power next-generation AI models. The role involves collaboration with leading teams across CSIRO, the University of Queensland, the Australian National University, the University of Western Australia, and industry breeding partners. Research will contribute to innovative, impactful science that strengthens Australia’s agricultural industries.

Applicants should have a recently completed or soon-to-be-completed PhD in machine learning, computational or quantitative biology, generative AI, or related fields. Experience with LLMs, multi-agent systems, high-performance computing, and advanced programming (R, Python, etc.) is highly valued. The fellowship offers a competitive salary (AU$103,390 – AU$113,251) plus 15.4% superannuation, and is fully funded for three years.

To apply, visit the CSIRO job portal and submit your application for reference 101763. This is an exceptional opportunity to make a real impact in Australia’s crop industries by leveraging AI and data science for breeding innovation.