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Doctoral Fellowships; Graduate Studies in Artificial Intellegence for Agriculture

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Academic Level:
Graduate Students (PhD)

The goal of this doctoral training program is to train and matriculate doctoral fellows with expertise in artificial intelligence (AI) and deep learning applied to solve agricultural challenges at the University of Illinois at Urbana-Champaign. The selected fellows will receive three-year fellowships, including tuition waivers and stipend. The fellows will receive training in AI, agricultural and biological technologies, and soft skills through coursework and research, as well as experiential learning opportunities such as teaching, internships, or extension. The AI in Ag fellows will be co-mentored by faculty members with multidisciplinary and complementary expertise. The program is looking for individuals motivated to advance the application of informatics technologies to agriculturally pertinent challenges, particularly those from traditionally underserved and underrepresented communities in the field of agricultural informatics.

Eligibility considerations follow the sponsors' guidelines, including fellowship recipients must be:

-Be U.S. citizens or nationals, and

-New applicants to the Ph.D. degree in Animal Sciences program at the University of Illinois. Admission and degree requirements are listed in the University of Illinois program catalog.

-Master’s degree in agricultural or biological sciences informed in informatics, or

-Master’s degree in information, statistics, or computer sciences, informed in biology.

Applicants from groups underrepresented in AI and agriculture or biological sciences are encouraged to apply.

Participating Institution(s):
(Click an institution to see all programs it hosts)
University of Illinois, Urbana-Champaign (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Agricultural Engineering
Artificial Intelligence
Bioinformatics & Genomics
Computational Sciences
Genetics & Genomics
Information Sciences
Molecular Biology

Animal Science
Applied Statistics
Artificial Intelligence
Information Sciences
Molecular Biology
Plant Biology
Scientific Computing

Learn More and Apply!

This program is funded by:
U.S. Dept. of Agriculture (USDA)

Page last updated 4/4/2023
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