Visiting Student - EVS - Hernandez, Marco - 3.16.26.
About The Position
This summer internship focuses on evaluating artificial intelligence (AI) models designed to predict atmospheric conditions, such as radiation, wind, cloud cover, and precipitation, at weeks-to-month lead times. These predictions are critical for optimizing hybrid energy-agriculture systems. The intern will compare model outputs against relevant field data, including datasets from previous projects sponsored by the Department of Energy's Office of Critical Minerals & Energy Innovation (CMEI). Sponsored by the NSF NRT TREAWS program (https://www.nrttreaws.org/home), this internship provides an opportunity to contribute to cutting-edge research at the intersection of AI and hybrid energy-agriculture systems.
Requirements
- The entirety of the appointment must be conducted within the United States.
- Must be 18 years or older at the time the appointment begins.
- Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution.
Responsibilities
- Evaluating artificial intelligence (AI) models designed to predict atmospheric conditions
- Comparing model outputs against relevant field data
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
