The Plant Resilience Institute (PRI) at Michigan State University is seeking a highly motivated and interdisciplinary postdoctoral researcher with strong computational and data science skills to join a project focused on identifying causal environmental drivers of crop resilience and yield. The project integrates field-based environmental monitoring, quantitative trait data, and controlled environmental simulations to uncover key environmental variables influencing plant performance across diverse agricultural conditions.
This position will focus on the computational aspects of the project, including data integration, association analyses (EWAS), and development of predictive models using large, multi-dimensional datasets. The postdoc will work closely with PRI researchers and external partners to translate complex environmental and phenotypic data into actionable insights for crop improvement and climate adaptation strategies.
This is an exciting opportunity to contribute to a pioneering approach in plant science that connects quantitative genetics, environmental sensing, and agricultural data science at scale.
Key Responsibilities:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Doctorate -Molecular Biology, Genetics, Cell Biology or related field
Cover letter
CV
Required application materials:
Please submit a cover letter detailing research experience and motivation for joining this project, a curriculum vitae and contact information for three references. The position is open immediately and will close upon the determination of an ideal candidate. Applications will be reviewed upon receipt of the individual’s material.
11/26/2025
https://plantresilience.msu.edu/
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