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Find similar grantsEnrollment targeted for Fall 2026 or Spring 2027. Applicants encouraged to apply as soon as possible but no explicit deadline given.
AI for Tree Fruit Production Cohort Fellowship (Doctoral Program) is sponsored by USDA National Needs Graduate and Postgraduate Fellowship Grants Program (Administered by Penn State University). This opportunity supports mission-aligned projects and measurable outcomes.
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USDA National Needs Fellowships — Graduate Programs — Department of Agricultural and Biological Engineering USDA National Needs Fellowships Fully Funded PhD Position available for interdisciplinary doctoral training program in Artificial Intelligence (AI) for Enhanced Tree Fruit Production Systems Precision tools powered by artificial intelligence (AI) are essential for adapting the tree fruit industry to a rapidly changing climate because they enable growers to monitor and manage environmental variables with high accuracy.
A graduate student fellowship is currently available at Penn State University for doctoral work on AI-enhanced fruit production systems. Some examples of research topics include AI-based precision ag tools development, precision crop load management, and precision weed management.
In the long term, this program will enhance the resilience of tree fruit production systems under climate stressors such as extreme temperatures and irregular rainfall, as well as associated biotic pressures (pests, diseases, and weeds). The successful candidate will enter in Fall 2026 or Spring 2027 as a cohort (an interdisciplinary group) under a USDA-funded project.
The accepted students will receive transdisciplinary training and cross-departmental mentorship to advance research and enhance impact.
Cohort students will receive and help shape cohort-building activities, including training in precision agricultural technologies, related tools and analysis, a unique transdisciplinary tree fruit seminar series, mentoring of undergraduate students, grantsmanship and science communication, and various opportunities for professional development. Candidates must apply and be admitted to the Agricultural and Biological Engineering Program.
To be considered for an AI for Tree Fruit Production cohort fellowship, candidates are strongly encouraged to apply as soon as possible . Candidates must be citizens or nationals of the USA, per program requirements. Contact the faculty member listed below in your discipline of interest with a CV.
The subject of the email should be ‘USDA AI Tree Fruit PhD Application’. Do not add any other information to the subject line. Agricultural and Biological Engineering Long He , Associate Professor, luh378@psu.
edu Candidates from historically underrepresented minority groups in STEM are particularly encouraged to apply. Commitment and demonstrated ability to work both independently and as part of a team are required. The student will be funded by a USDA NIFA-funded project and research and extension assistantships to cover the full PhD program.
The position includes a competitive stipend, summer support, tuition waiver, and health insurance. As a cohort student, you will have the opportunity to work with ongoing Penn State AI and Precision Ag-related initiatives, such as: Technologies for Agriculture and Living Systems (TALIS) Center for Artificial Intelligence Foundations and Engineered Systems (CAFE) Other collaborative research projects among the team members
According to the current listing, eligibility includes: U. S. citizens or nationals who apply and gain admission to the Agricultural and Biological Engineering Program at Penn State; underrepresented minorities in STEM are particularly encouraged. Confirm the full requirements in the official notice before applying.
AI for Tree Fruit Production Cohort Fellowship (Doctoral Program) is funded by USDA National Needs Graduate and Postgraduate Fellowship Grants Program (Administered by Penn State University). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
USDA-NIFA-HEP-011737 puts $14 million behind roughly 28 awards of up to $705,000 for graduate fellowships in food and agricultural sciences. No match is required. But two eligibility rules — the new-graduate-student definition and the citizenship requirement — disqualify most of the students a department would naturally nominate.
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