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PhD position in precision weed management
Description of Duties
Graduate student fellowships are currently available at Penn State University for doctoral work on the 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.
The successful candidates will enter in Fall 2025 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 on professional development.
Candidates must apply and be admitted to one of the graduate programs below. To be considered for an AI for Tree Fruit Production cohort fellowship, candidates are strongly encouraged to apply before January 31, 2025. Candidates must be citizens or nationals of the USA, per program requirements. Contact the faculty member listed below in your discipline of interest with (1) a cover letter indicating your background experiences and research interests, (2) resume, (3) (unofficial) transcripts, and (4) a research paper/report of your authorship. The subject of the email should be ‘USDA AI Tree Fruit PhD Application’. Do not add any other information on the subject line.
Weed management under Dr. Caio Brunharo ([email protected] in the AEPS program);
Tool development under Dr. Long He ([email protected] in the ABE program);
Crop load management under Dr. Shanthanu Krishna Kumar ([email protected], in the AEPS program).
MSc in weed science, vegetable science, horticulture, engineering, or related field is required.
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