Postdoctoral Fellowship in Intelligent Systems for Breeding Innovation Jobs

CSIRO

Location:
Australia, Brisbane

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

CSIRO’s Agriculture & Food Breeding Innovations Group seeks a forward-thinking expert in statistical machine learning to translate complex biological datasets into actionable insights that enhance genomic selection and breeding outcomes for accelerated crop breeding platforms.

Job Responsibility:

Develop and apply AI-driven strategies, including the use of LLMs and collaborative multi-agent systems, to support decision-making in crop breeding
Translate biological data into machine-readable formats for AI model development
Lead the integration of AI models into crop breeding pipelines to enhance genomic predictions
Conduct innovative research of strategic importance to CSIRO
Perform systematic literature surveys of research relevant to the field.

Requirements:

A doctorate in relevant discipline areas such as statistical machine learning, computational and quantitative biology, generative AI models
Demonstrated experience in developing and deploying AI/ML systems, including LLMs and multi-agent frameworks, in a scientific or biological context
Demonstrated ability to undertake original, creative and innovative research
Evidence of advanced programming skills in relevant languages and statistical software packages such as R, Python, Fortran, Matlab, SAS, Stata or equivalent, and experience in the use of high-performance computer resources and parallel computation.

What we offer:

15.4% superannuation
Flexible work arrangements
Leave entitlements
Career development opportunities

Additional Information:

Job Posted:
November 27, 2025

Expiration:
January 30, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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Postdoctoral Fellowship in Intelligent Systems for Breeding Innovation

CSIRO

Location:Australia, Brisbane

Category:IT - Software Development

Contract Type:Employment contract