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National Laboratory of the Rockies · 3 weeks ago

Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis

United States

Internship

Remote

Intern

$44K/yr - $70K/yr

The National Laboratory of the Rockies (NLR) is the nation's primary laboratory for energy systems research and development. The Geospatial Data Science team is seeking an intern to support modeling and analysis, focusing on geospatial algorithms and methods to evaluate the deployment potential for energy technologies.

Clean EnergyCleanTechEnergyRenewable Energy

Responsibilities

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, NREL’s high-performance computing (HPC) system and the Cloud

Qualification

PythonGeospatial analysisQGISLinux/UnixMachine LearningGeopandasNumpyScipyShapelyPyprojAnalytic skillsResearch skillsCritical thinkingCommunication skillsTeam collaboration

Required

Minimum of a 3.0 cumulative grade point average

Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution

Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year

Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution

Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year

Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution

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