Postdoctoral Fellow - Quantitative Genetics and Artificial Intelligence in Plant Breeding

To meet the needs of research groups across IRRI platforms, this position will work on:

1. Development and application of quantitative genetic and statistical methods/tools including experimental designs and image analysis for rice breeding
2. Breeding analytics and efficient management of data and information
3. Integration of IRRI breeding analytics with the CGIAR-wide Excellence in Breeding analytics team.

This position will be based at the IRRI Headquarters, Los Baños, Philippines and is open for international applications.

• Support research teams across Platforms and of the NARES partners on breeding program and multi-location testing design, design of experiments, and complex datasets analysis, such as molecular markers, weather, and imagery
• Promote the use of appropriate statistical design, analysis tools and data management platforms in order to empower researchers to independently manage and analyze their data
• Develop tools and analytics to analyze multi-dimensional datasets, composed of traditional phenotypes, molecular markers, weather, and imagery
• Provide support and guidance in designing breeding trials, data management, image and data analyses and interpretation
• Promote the adoption/use of the Enterprise Breeding System in IRRI breeding programs
• Maintain and proactively develop network and partnerships with potential collaborators, mainly across the IRRI platforms
• Actively contribute to the design, development, and implementation of standardized analysis routines in the Enterprise Breeding System in collaboration with the Excellence in Breeding staff and promote the implementation of improved routines wherever needed
• Help to develop statistical solutions, analytic pipelines, and toll across clusters and Platforms at IRRI, and to NARES partners, and promote the use of modern statistical methods especially for complex data sets, such as molecular markers, weather, and imagery
• Publish and actively contribute to articles in peer-reviewed journals/digests that highlight findings from research and experiment activities showcasing the Institute's scientific leadership

• PhD in relevant discipline with experience in quantitative genetics and artificial intelligence applied to plant breeding

Mandatory

• Demonstrated skills in modern quantitative and statistical methods including breeding value estimation, estimation of quantitative genetic parameters, simulations, weather data, and image analysis
  

Preferred

• Advanced knowledge on R and Python

IRRI offers a highly extensive employee benefits package inclusive of globally-covered medical insurance, retirement plan, life and accident insurance and other allowances. Join our team and be part of our story!

Please note only shortlisted candidates will be contacted.
This position will remain open until filled.