PhD position on machine vision and AI for harvest automation of specialty crops
6201
A PhD position is available in yuzhenlu.com’s group (AgFood Sensing & Intelligence) in the Department of Biosystems & Agricultural Engineering at Michigan State University (timeshighereducation.com, en.wikipedia.org, the first Land-Grant University and en.wikipedia.org member in the U.S., topuniversities.com globally). The selected candidate will work primarily on harvest automation for specialty crops. Successful candidate need to be creative, self-motivated, adaptive, focused, and collaborate in multidisciplinary environments. The student will be expected to communicate research outcomes actively and in time through high-quality, peer-reviewed publications and deliver presentations at conferences (e..g, two national/international conferences per year).
The selected candidate is expected to assist with leading efforts in leveraging advanced machine vision, and artificial intelligence (AI)/robotics technologies to develop automated, selective harvesting systems for specialty crops. He or she will meet regularly with Dr. Lu to discuss best practices in design, experiments, prototyping, algorithm development and testing, manuscript preparation, and mentoring. The selected candidate may also engage in activities such as grant proposal development and class teaching assistance as needed for their professional development.
Minimum Requirements
Desired Qualifications
APPLICATION
If interested in this position, please contact yuzhenlu.com [[email protected] (unserious emails without addressing qualifications will not get replies)] with a description of how you meet the qualifications. 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. Successful applicants will need to apply to the MSU Graduate School. Please visit grad.msu.edu and egr.msu.edu for details.
The selected candidate is expected to assist with leading efforts in leveraging advanced machine vision, and artificial intelligence (AI)/robotics technologies to develop automated, selective harvesting systems for specialty crops. He or she will meet regularly with Dr. Lu to discuss best practices in design, experiments, prototyping, algorithm development and testing, manuscript preparation, and mentoring. The selected candidate may also engage in activities such as grant proposal development and class teaching assistance as needed for their professional development.
Minimum Requirements
- The successful candidate must have a MS/BS degree in Biosystems/Agricultural Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or closely related fields.
- Successful candidates are expected to have demonstrated experience evidenced in publication records in machine/computer vision, mechatronics, and or AI/robotics.
- Strong computer programming skills are necessary in C++, Python, and or Matlab.
- The candidate is expected to have excellent scientific writing and communication skills.
Desired Qualifications
- Skills in machine vision, hardware prototyping, and system integration are desirable.
- Experience in developing a machine vision-based automation system for vegetable harvesting is an advantage.
APPLICATION
If interested in this position, please contact yuzhenlu.com [[email protected] (unserious emails without addressing qualifications will not get replies)] with a description of how you meet the qualifications. 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. Successful applicants will need to apply to the MSU Graduate School. Please visit grad.msu.edu and egr.msu.edu for details.
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