Undergraduate/Graduate (Summer or Year-Round) Intern - Transportation Data Processing, Analysis, and Modeling

National Renewable Energy Laboratory

Mar 27

Applications are closed

Internship
Full-time
Summer Internship
Data
$42.7K - $68.3K
Golden
Remote

Requirements

Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree program, or graduated in the past 12 months from an accredited institution. Candidates who have earned a degree may work for a period not to exceed 12 months. Must have a minimum of a 3.0 cumulative grade point average.
Highest priority preferred qualifications:
Python and/or R experience.
Strong collaboration skills—thrives working in a collaborative team environment but is comfortable working independently when necessary.
Ability to create compelling user-friendly visualizations.
Additional preferred qualifications:
Experience with Github.
Experience working with large datasets.
Knowledge of geospatial data analysis and/or scientific computing.
Familiarity with PostgreSQL and database administration.
Experience with Javascript, CSS, and/or html programming.
Experience in transportation or automotive fields.
Strong writing and presentation skills.
Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.

Responsibilities

Seeking full- or part-time graduate or highly qualified undergraduate intern to work with researchers in NREL’s Center for Integrated Mobility Sciences on data processing, analysis, and model development for mobility behavior and advanced vehicle/transportation technologies, and to support related projects and programs. Specific tasks may include:
Develop and refine data processing workflows for transportation data such as travel surveys and model outputs for use in data dashboards, standalone visualizations, subsequent analyses, and for archiving.
Respond to requests for access to the Transportation Secure Data Center (TSDC) secure portal environment and ensure security protocols are maintained.
Assist NREL researchers on projects providing insights into transportation energy systems, with a focus on how emerging transportation systems impact travel behavior, quality of life, and energy use.
Work with and analyze large quantities of real-world travel activity and vehicle driving data, and potentially leverage high-performance computing resources for larger scale analyses.
Quantify and visualize Mobility Energy Productivity (MEP) and impacts on MEP from emerging transportation technologies and paradigms such as vehicle automation, electrification and sharing.
Deliver quality products that synthesize external literature, data analyses, and modeling results.
Document methods and assumptions and assist with preparing peer-reviewed publications along with high-quality technical reports and presentations.

Application Process

Please include all relevant experience and qualification information on the uploaded PDF (or MS Word) copy of your resume or CV. Ideally, please also add a link to your GitHub (or GitLab, etc.) profile and ensure that as many repos as possible are public.

National Renewable Energy Laboratory

Science & Healthcare

Industry

1001-5000

Employees

1977

Founded Year

Mission & Purpose

The National Renewable Energy Laboratory (NREL), a Department of Energy national lab, is #TransformingEnergy as the nation's primary laboratory for renewable energy and energy efficiency research and development. NREL's Mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals. NREL's Strategy: NREL has forged a focused strategic direction to increase its impact on the U.S. Department of Energy's (DOE) and our nation's energy goals by accelerating the research path from scientific innovations to market-viable alternative energy solutions.