Graduate Intern – Geospatial Data Science Modeling and Analysis
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Job Description
Intern supporting Geospatial Data Science modeling and analysis at the National Laboratory of the Rockies. Collaborating with a team of researchers in energy deployment and big data science.
Responsibilities:
- support modeling and analysis
- conduct research at the intersection of energy deployment, big data science, and geospatial modeling and visualization
- manipulate multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis
- prepare and process geospatial data using open-source desktop software and programmatic approaches
- conduct background research on data sets, current modeling approaches, and existing tools
- develop literature reviews under the guidance of research scientists
- program and script in Python to conduct analysis and visualize data
- work in distributed computing environments including internal servers, NREL’s high-performance computing (HPC) system and the Cloud
Requirements:
- 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
- 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;
- 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.
Benefits:
- medical, dental, and vision insurance
- 403(b) Employee Savings Plan with employer match*
- sick leave (where required by law)
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