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National Laboratory of the Rockies

Renewable energy research and data services

Graduate Geospatial Data Science Modeling and Analysis Intern

Data ScienceUpdated on Nov 12
InternshipGolden, CO, USA$21.39 - $34.23 /hr

About the Job

Requirements

  • Must have completed a bachelor’s degree and either be enrolled in or recently graduated from a master’s degree program, or be currently enrolled in a PhD program, in Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field.
  • Must provide a resume and an online code repository, such as GitHub, containing several publicly visible coding projects, or explain in the cover letter why the application lacks a repository and/or project examples.
  • Must demonstrate experience working independently with Python and libraries such as GeoPandas, NumPy, SciPy, Shapely, and PyProj.
  • Must have proficiency and experience with geospatial analysis and modeling techniques using open-source tools such as QGIS; ESRI tools are not used by the research group.
  • Must have experience with geographic transformations and projections.
  • Must be able to work in a dynamically evolving digital environment as a member of a collaborative, often-dispersed team.
  • Must have a minimum cumulative grade point average of 3.0.
  • Must meet the educational requirements before the employment start date.
  • Must submit official or unofficial school transcripts with the application.
  • If selected, must provide a letter of recommendation.
  • For assignments extending beyond six months, must be able to obtain and maintain a federal Personal Identity Verification card, including passing a favorable background investigation.
  • Must pass a pre-employment drug test before starting work.

Responsibilities

  • Manipulate multiple data sources, models, and software tools within 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 datasets, 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, the laboratory’s high-performance computing system, and the cloud.
  • Support the team’s modeling portfolio through geospatial analyses, literature reviews, cartography, scientific programming, and data preparation, processing, and validation.
  • Assist geospatial scientists in developing analytical solutions to challenges in energy siting, deployment, and adoption.

Desired Qualifications

  • Experience with Linux or Unix.
  • Experience with collaborative code development.
  • Experience with machine learning.
  • Experience with the Geospatial Data Abstraction Library (GDAL).
  • Experience with big geospatial data processing.

About the Company

National Laboratory of the Rockies

Renewable energy research and data services

NREL analyzes and develops renewable energy and energy efficiency technologies and provides energy data and research services to government agencies, private companies, and universities. Its offerings include research outputs, data products, and Web services through a developer network that gives clients access to renewable-energy data and information on alternative fuels. The work is funded mainly by government grants and partnerships, and NREL uses its findings to help clients create sustainable energy solutions and policy guidance. The organization differs from many peers by being a government-supported national lab with large, open data resources and a focus on practical deployment, standards, and collaboration across public and private sectors. Its goals include accelerating the adoption of clean energy, advancing energy efficiency, reducing carbon emissions, promoting circular economy practices and decarbonizing its own operations to reach net-zero emissions by 2050.

Company size
1,001-5,000
Company stage
Grant
Total funding
$14.6M
Headquarters
Golden, CO
Founded
1977

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