PhD Position in Optical Imaging/Machine Vision for Food Quality Detection
4640
Michigan State University (timeshighereducation.com, en.wikipedia.org, the first Land-Grant University and en.wikipedia.org in the U.S., topuniversities.com worldwide) is inviting applications for M.S./Ph.D. research assistantships in Biosystems Engineering (egr.msu.edu). The assistantship covers tuition and insurance and provides competitive stipends (>$38 K annual stipends) and will be renewed annually.
The students will work with scholar.google.com (yuzhenlu.com), on original research and development at the intersection of optical sensing (quantitative imaing/machine vision), signal processing, artificial intelligence (AI) (e.g., generative AI, supervised/semi-supervised learning), and automation for quality assessment and online inspection of foods (poultry, catfish, and horticultural produce). Successful candidates need to be creative, self-motivated, adaptive, focused, and collaborate in multidisciplinary environments. The students 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).
REQUIRED
PREFERED
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 students will work with scholar.google.com (yuzhenlu.com), on original research and development at the intersection of optical sensing (quantitative imaing/machine vision), signal processing, artificial intelligence (AI) (e.g., generative AI, supervised/semi-supervised learning), and automation for quality assessment and online inspection of foods (poultry, catfish, and horticultural produce). Successful candidates need to be creative, self-motivated, adaptive, focused, and collaborate in multidisciplinary environments. The students 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).
REQUIRED
- B.S./M.S. degree in Ag/Biosystems/Food Engineering, Optical Science/Engineering, Electrical Engineering, Automation, Computer Science/Engineering, or other related fields, with a GPA of 3.3 or higher.
- Proficiency in computer programming (e.g., Python, C++/C, Qt, Matlab).
- Experience in optical imaging, instrumentation, machine learning, or automation.
- Experience in engineering design and prototyping, and software-hardware integration.
- Demonstrated research abilities and scientific writing skills through peer-reviewed publications.
- Students with non-English credentials must obtain a valid TOEFL score of iBT 80+ or IELTS score of 6.5 or higher (see grad.msu.edu) as well as a GRE score (highly recommended to provide).
PREFERED
- Refereed journal publications in quantative optical imaging (e.g., structured light, light scattering) or machine vision of biological materials/tissues
- Experience in hands-on optical instrumentation and automation
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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