CSIRO Winanga-y Postdoctoral Fellowship in Computational Genomics and Plant Breeding Using ML and AI
- Do you have a PhD in quantitative/statistical genetics, applied statistics, data science, applied mathematics, computational biology, genomics or plant breeding?
- Explore new digital based technologies to optimize the design of plant breeding, to more efficiently generate better plant varieties
- Join the CSIRO Agriculture & Food Breeding Innovations Group for this 3-year postdoctoral fellowship role
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
We are thrilled to be able to deliver on the commitment we made in our strategy to invest in frontier science with the new CSIRO Agriculture & Food Winanga-y Postdoctoral Fellowship scheme. The word Winanga-y (pronounced win-na-gnay) is a cultural asset gifted by the Gomeroi Nation in Myall Vale to CSIRO's Agriculture and Food Business Unit to name the Postdoctoral Fellowship Scheme. Winanga-y means to understand, know, remember, and think.
CSIRO Agriculture & Food's Breeding Innovations Group requires an innovative and forward-thinking computational geneticist to join the team breeding innovations group. The CERC Fellow will build mathematical and computational approaches to optimize the experimental design in a plant breeding program on the basis of genomic, phenotype and pedigree data, using various modern optimization methods such as combinatorial optimization and Bayesian optimization. The CERC Fellow will play a leading role on method development and validation, and ultimately will collaborate with the breeders to integrate the methodology into the CSIRO’s cotton breeding program to deliver successful cotton cultivars.
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