Yuzhen Lu
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Postdoc in On-Farm Automation for Specialty Crops at Michigan State University Michigan State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Michigan State University

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About this position
Postdoc Position: Specialty Crop On-Farm Automation at Michigan State University.
This postdoctoral research associate opening is in Dr. Yuzhen Lu’s group (AgFood Sensing & Intelligence) in the Department of Biosystems & Agricultural Engineering. The project focuses on on-farm automation of specialty crops, especially in-orchard/postharvest automation and AI-enabled mechanization for labor-intensive production tasks.
The successful candidate will work on machine vision, artificial intelligence, automation technologies, robotics/mechatronics, and related engineering solutions for specialty crop production. Example tasks mentioned include mechanized harvesting, automated sorting, and vision-based crop management. The role also involves generating peer-reviewed publications, discussing design/prototyping/algorithm development/testing with Dr. Lu, and potentially contributing to grant proposals and teaching assistance.
Eligibility highlights: a PhD in Biosystems/Agricultural Engineering, Electrical Engineering, Mechanical Engineering, Automation, or a closely related field; publication experience in machine/computer vision, mechatronics, or AI/robotics; strong programming skills in C++, Python, and/or Matlab; and excellent scientific writing and communication skills. Preferred experience includes engineering design, hardware prototyping, system integration, and real-time mechanical vision systems for special crop automation.
Funding and duration: the appointment is initially for 12 months, with possible extension depending on performance and funding. No stipend amount is listed.
Application: email [email protected] to apply or express interest. Review begins immediately and continues until the position is filled. A video pre-interview may be arranged for shortlisted candidates.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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