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
How to Apply
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
