
Fully Funded Ph.d. Opportunity in Sensing & Ai for Food and Agricultural Systems at Cornell University, Usa
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Join Dr. Chang Chen’s lab at Cornell AgriTech as a Ph.D. student starting Fall 2026. Conduct cutting-edge research in non-destructive sensing, AI, and precision agriculture to enhance food quality, safety, and sustainable agricultural systems.
Who Can Apply:
Candidates with a B.S. or M.S. in Electrical & Computer Engineering, Biological & Agricultural Engineering, Food Science (engineering focus), or related fields.
What is Covered:
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Fully funded Ph.D. position (tuition, stipend, and research support provided)
Eligibility Criteria:
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Strong academic record (GPA > 3.7)
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Demonstrated research experience with publications preferred
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Programming skills (Python, R, MATLAB), AI, robotics, spectrometry, or mechanical design
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Language proficiency: TOEFL ≥100 or IELTS ≥7.5 for international applicants
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GRE preferred ≥325
How to Apply:
Apply online via Cornell University Graduate SchoolWeb system:
Apply Here
Required documents:
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Application form
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Personal & academic statement of purpose
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CV (including publications)
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Academic transcripts
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English proficiency test results (if applicable)
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Three recommendation letters
Deadline:
No specific deadline listed; apply early for Fall 2026 admission
HOST COUNTRY
United States
ELIGIBLE COUNTRIES
Not Specified
FUNDING TYPE
Full Scholarship
PROGRAM TYPES
Master, Bachelor
DEADLINE
Varies
FEATURES
- Send us an emailinfo@unyked.com