Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis
National Renewable Energy Laboratory(1 month ago)
About this role
A year-round 6–12 month internship on the Geospatial Data Science team at the National Laboratory of the Rockies supporting modeling and analysis of energy technology deployment. The role contributes to interdisciplinary research applying geospatial algorithms and methods to evaluate deployment potential for resources like geothermal, wind, solar, hydropower, and transmission across scales.
Required Skills
- Python
- Geopandas
- Numpy
- Scipy
- Shapely
- PyProj
- QGIS
- Cartography
- Data Processing
- Geospatial Modeling
+4 more
Qualifications
- Bachelor's Degree
- Master's Degree
- PhD Enrollment
- Minimum 3.0 GPA
- PIV Card (may be required)
- Background Check
About National Renewable Energy Laboratory
nrel.govNREL bridges research with real-world applications to advance energy technologies that lower costs, boost the economy, strengthen security, and ensure abundant energy.
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