An advanced undergraduate/graduate student internship position is available from the National Renewable Energy Laboratory's (NREL) Strategic Energy Analysis Center's Economics and Forecasting Group in our Golden, Colorado office. NREL is the nation's primary laboratory for research, development, and deployment of renewable energy and energy efficiency technologies. The immediate opening is to assist NREL staff in performing modeling and analysis of the U.S. power sector.
The position is for 15-40 hours per week from June through December, 2019, although the student may extend through the spring of 2020 if available. The successful candidate will participate on a broad range of technology, market, and policy analyses that leverage power system modeling tools. Duties may include development of model inputs for renewable technologies or other components, analysis of power sector policies or regulations, analysis and characterization of scenario results, modification and execution of electric system models, and preparing analysis results for publication. For examples of the type of work performed by this group, see https://www.nrel.gov/analysis/reeds/publications.html.
Job Duties and Responsibilities
- Researching, compiling, and analyzing electric power system data
- Modifying ReEDS code and inputs in order to implement new power sector scenarios or to test modeling assumptions
- Performing analysis using the ReEDS model
- Preparing analysis results for presentations, technical reports, and journal papers
Preferred Knowledge and Skills
- Background in power systems, energy economics, policy analysis, or engineering, and basic experience working with models
- Experience with modeling or analyzing electricity markets
- Experience with optimization
- Proficiency with GAMS, R, and/or Python
Must be enrolled as a full-time student in a degree granting program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average. Please Note: You will need to upload unofficial transcripts and a letter of recommendation as part of the application process.