Careers
PhD Opening in Digital Agronomy / Weed Science at Texas A&M University (College Station, TX)
Description of Duties
A fully-funded PhD Graduate Research Assistantship is available with a focus on agronomy/weed science, integrating digital technologies. The position will contribute to building a weed image repository, developing weed-recognition algorithms, and advancing precision technologies for weed detection and site-specific management. The candidate will collaborate with national and international partners and work within an interdisciplinary team.
Required
• MS degree (or near completion) in agriculture/plant science or a closely related field, with a strong foundation in agronomy
• Demonstrated interest in precision agriculture and sensor technologies and an ability to learn quickly, work independently, and contribute effectively in a team
• Strong oral and written English communication skills
Preferred
• Hands-on experience with digital tools (e.g. image analysis workflows, GIS, scripting in Python, knowledge of Machine Learning, big data management)
• Because of the timeline, preference may be given to applicants who are currently based in the U.S. or who can complete hiring paperwork quickly
Only shortlisted candidates will be contacted. The institution reserves the right not to fill the position.
Type of position
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Closing Date
Date Position Available
