Computational Agricultural Data Analytics & Phenotyping Practicum
University of Nebraska-Lincoln Kimmel Education and Research Center · Nebraska City, Nebraska, United States
Academic Overview & Description
Specialized computational practicum applying machine learning to multi-year weather stations, hyperspectral imagery, and tree yield forecasting at the Kimmel Center.
Funding & Financial Support
- Funding Award
- $12,000 summer research stipend plus housing stipend and computer cluster access
- Tuition Rate
- $0 (Fellowship stipend provided)
- Application Fee
- $0
Admission & Candidate Requirements
- Academic GPA
- 3.2+ GPA in computer science, statistics, or data science
- English Language
- English proficiency certification
- Standardized Exam
- Not required
- Application Materials
- CV, GitHub profile or code repository sample, cover letter
- Letters of Recommendation
- Two letters of recommendation
Institutional Guidance
For official application submission procedures, portal logins, and faculty matching, consult University of Nebraska-Lincoln Kimmel Education and Research Center's detailed profile or visit the department application portal.
Verified record · Updated 2026-10-16 · Editorial standards