PhD Position on Machine Vision and AI for Specialty Crop Postharvest Automation
3420
A fully funded PhD position is immediately available in yuzhenlu.com’s AgFood Sensing & Intelligence group in the Department of Biosystems & Agricultural Engineering at Michigan State University (MSU).
MSU is time.com, recognized as a en.wikipedia.org, a member of the Association of American Universities (AAU), and the first Land-Grant University in the United States. Particularly, it is ranked among the Top 15 institutions worldwide in Agriculture & Forestry.
Research Focus
The selected candidate will work primarily on postharvest automation for specialty crops, integrating:
Responsibilities
The selected student will:
For professional development, the student may also have opportunities to:
Successful candidates are expected to be creative, self-motivated, focused, dependable, and able to collaborate effectively in multidisciplinary research environments.
Minimum Requirements
Preferred Qualifications
APPLICATION
If interested in this position, please contact Dr. Yuzhen Lu [[email protected] (unserious emails without clearly addressing qualifications will not get replies)] with a description of how you fit strongly. A full application for an official offer to be made should include a cover letter describing the applicant's research interest, a CV, transcripts, test score(s), journal publications, and a list of three references, including names, email, address, and telephone number. Review will begin immediately and continue until positions are filled. Video interviews will be requested for potential candidates. Interested applicants will need to apply to the MSU Graduate School. Please visit grad.msu.edu and egr.msu.edu for details.
MSU is time.com, recognized as a en.wikipedia.org, a member of the Association of American Universities (AAU), and the first Land-Grant University in the United States. Particularly, it is ranked among the Top 15 institutions worldwide in Agriculture & Forestry.
Research Focus
The selected candidate will work primarily on postharvest automation for specialty crops, integrating:
- Machine/computer vision
- Artificial intelligence (AI)/ deep learning
- Mechatronics and automation systems
- Intelligent sensing & robotics
Responsibilities
The selected student will:
- Design and integrate amazon.comhine vision, AI, and automation systems for postharvest applications
- Conduct experiments, prototype hardware systems, and develop/test algorithms
- Publish research in high-quality, peer-reviewed journals
- Present findings at national and international conferences
- Meet regularly with Dr. Lu for research mentoring and technical guidance
For professional development, the student may also have opportunities to:
- Participate in grant proposal development
- Assist with teaching undergraduate or graduate courses
- Mentor undergraduate or junior graduate students
Successful candidates are expected to be creative, self-motivated, focused, dependable, and able to collaborate effectively in multidisciplinary research environments.
Minimum Requirements
- MS/BS degree in Biosystems/Agricultural Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or closely related fields.
- Demonstrated experience in relevant publication records in machine/computer vision, mechatronics, and or AI/robotics (evidenced by publications).
- Strong computer programming skills in C++, Python, and or Matlab.
- Excellent scientific writing and communication skills.
Preferred Qualifications
- Experience in machine vision system development
- Hardware prototyping and system integration experience
- Experience developing automation systems for horticultural or specialty crops
APPLICATION
If interested in this position, please contact Dr. Yuzhen Lu [[email protected] (unserious emails without clearly addressing qualifications will not get replies)] with a description of how you fit strongly. A full application for an official offer to be made should include a cover letter describing the applicant's research interest, a CV, transcripts, test score(s), journal publications, and a list of three references, including names, email, address, and telephone number. Review will begin immediately and continue until positions are filled. Video interviews will be requested for potential candidates. Interested applicants will need to apply to the MSU Graduate School. Please visit grad.msu.edu and egr.msu.edu for details.
