Precision Phenotyping Intern

Position:
Precision Phenotyping 6-month Summer Internship

Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer, Brevant, and Hoegemeyer, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

We are seeking a Precision Phenotyping Intern to participate in a 6-month internship! The internship will be based out of Johnston, IA or Princeton, IL. As a Precision Phenotyping Intern you will have the opportunity to lead, execute, and analyze results for a precision phenotyping project as well as obtain experiences across the areas of remote sensing, plant characterization, and plant breeding research activities.

Position will start in the Spring of 2027 with a duration of 6 months.

• You will work as part of a team in one or more of the following research areas: precision phenotyping tasks associated with trait/product development, digital ag, and/or plant breeding projects.
• You will assist the Precision Phenotyping Team with tasks associated with field data collection, sensor testing, validation, image analytics, pipeline development and/or model development.
• You will also manage your own research project in the area of precision phenotyping trait/tool validation with the expectation of a verbal report to a larger audience at the conclusion of your internship.
• Intern positions provide excellent experience that can be applied to full-time positions in the industry, or in preparation for additional graduate level training.

• Priority will be given to students that are at least current sophomores at an accredited university. Interns can be undergraduate or graduate students.
• Education focus in Agronomy, Plant Physiology, Plant Breeding, Computer Science, Data Science, Engineering, Biology, Plant Pathology, Horticulture, Entomology, Weed Science, or a related field
• Remote sensing or plant phenotyping background beneficial
• Agricultural or plant breeding background beneficial
• Knowledge of R for statistical analyses and visualizations beneficial
• Knowledge of Python beneficial
• Preference will be given to student with a minimum GPA of 3.0
• Must be enrolled at an accredited university at the time of internship

Are you a good match? We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc.

and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.

Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Corteva Agriscience is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class.

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