The board
Internship
Data
Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis
National Renewable Energy Laboratory
- Hours
- Full time
- Where
- Golden, CO
- Posted
- Sep 11
Posting Title
Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis.
Location
CO - Golden.
Position Type
Intern (Fixed Term).
Hours Per Week
40.
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.
What you'd do
- Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis
- Preparing and processing geospatial data using open-source desktop software and programmatic approaches
- Conducting background research on data sets, current modeling approaches, and existing tools
- Developing literature reviews under the guidance of research scientists
- Programming and scripting in Python to conduct analysis and visualize data
- Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud.
What they want
- Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
- If selected for position, a letter of recommendation will be required as part of the hiring process.
- Must meet educational requirements prior to employment start date.
- Must have completed a bachelor’s degree and either: be enrolled in or recently graduated from a master’s degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field
- To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects.
- Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects
- Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj
- Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group)
- Experience working with geographic transformations and projections
- Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team
- Critical thinking skills; analytic and research skills; written and verbal communication skills
- Starts
- 2026-09-11