Postdoctoral Fellow Opportunity | Multi-Omics, Hybrid AI, and Pulse Crop Improvement
Listed on 2026-08-04
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Research/Development
Genetics / Genomics, Data Scientist, Research Scientist, Postdoctoral Research Fellow
Postdoctoral Fellow Opportunity | Multi-Omics, Hybrid AI, and Pulse Crop Improvement
The Dry Bean Breeding & Computational Biology Program at the University of Guelph is seeking a highly motivated Postdoctoral Fellow to join our interdisciplinary research team.
This position will focus on integrating genomics, transcriptomics, metabolomics, phenomics, molecular biology, and environmental data using hybrid AI approaches to support pulse crop improvement. Research will involve dry bean, adzuki bean, and related pulse crops, with applications in disease resistance, seed quality, nutritional value, yield stability, climate resilience, and breeding decision support.
We are especially interested in candidates with experience in areas such as:
- Multi-omics integration and bioinformatics
- Plant breeding, genetics, or molecular biology
- Machine learning, AI, statistical genetics, or computational biology
- R, Python, sequencing data, and large biological datasets
- Molecular, greenhouse, field, or laboratory research
Location:
University of Guelph, Ontario, Canada
Expected start date:
September 2026, with some flexibility
Salary: CAD $55,000–$60,000 per year plus benefits, negotiable
Final date to receive applications:
August 10, 2026
Applications will be reviewed as they are received, and only shortlisted candidates will be contacted.
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