UChicago METCALF - ESIA - Nakornsri, Enzo - 3.16.26
About The Position
The student intern will support the development of an AI based agent designed to extract key technical and performance parameters from published literature. These parameters will be used to inform techno economic analysis and life cycle assessment models used in ongoing research projects. The intern will help design, test, and refine automated workflows that identify relevant data, structure it into usable formats, and improve the reliability of information gathered from diverse sources. This work will contribute to building a scalable tool that accelerates literature review and strengthens the quality of analytical inputs for project evaluation. Education and Experience 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: ‒ Currently enrolled in undergraduate or graduate studies at an accredited institution ‒ Graduated from an accredited institution within the past 3 months; or ‒ Actively enrolled in a graduate program at an accredited institution
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.
- Currently enrolled in undergraduate or graduate studies at an accredited institution
- Graduated from an accredited institution within the past 3 months
- Actively enrolled in a graduate program at an accredited institution
Responsibilities
- support the development of an AI based agent designed to extract key technical and performance parameters from published literature
- help design, test, and refine automated workflows that identify relevant data
- structure it into usable formats
- improve the reliability of information gathered from diverse sources
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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
