Published: 03/24/2026
3/24/2026
Project Unleaded is seeking a motivated undergraduate research assistant to support the GeoAI for Lead Smelting Sites project, part of the broader Project Unleaded initiative at Stanford. This project focuses on developing remote sensing and machine learning approaches to identify and monitor informal lead smelting activities—a major source of environmental lead pollution in South Asia.
Role Overview: The research assistant will contribute to building a high-quality, verified database of lead smelting sites. This work involves investigative geospatial analysis, including tracing, validating, and correcting geolocations of field-identified sites using tools such as Google Earth and other online mapping resources.
Key Responsibilities:
· Verify and refine geographic coordinates of known lead smelting sites
· Cross-check locations using satellite imagery and contextual clues
· Document discrepancies and update records systematically
· Assist in organizing and maintaining a structured geospatial dataset
Desired Qualifications:
· Strong attention to detail and curiosity for investigative work
· Interest in environmental issues, remote sensing, or geospatial analysis
· Comfort working with maps and satellite imagery (prior experience is a plus but not required)
· Ability to work independently and maintain organized records
Logistics:
· Duration: Starting immediately for the quarter (based on mutual agreement)
· Time commitment: ~10 hours per week
· Compensation: Research credit or hourly compensation
This is a great opportunity for students interested in applying geospatial tools to real-world environmental and public health challenges.
To apply or learn more, please contact Garima Jain at garimaj@stanford.edu