Posting Title

Undergraduate/Graduate (6-Month) Intern - Data Analysis in Impacts of the Inflation Reduction Act

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

20

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Working at NREL

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.

From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.

NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.

Our planet needs us! Learn about NREL’s critical objectives, and see how NREL is focused on saving the planet.

Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.

Job Description

NREL’s Strategic Energy Analysis Center is seeking an undergraduate or graduate intern to perform data analysis tasks related to the potential impacts of the Inflation Reduction Act (IRA). The IRA introduced a wide range of tax credits that are expected to meaningfully shift the U.S. energy mix. Incentives for the U.S. manufacturing are designed to increase domestic manufacturing of clean energy technologies and decarbonize existing industrial and manufacturing facilities in the United States.

We are seeking an undergraduate or graduate intern to assist with data analysis that will provide initial insights into the potential impacts of manufacturing incentives on U.S. industrial emissions, manufacturing capacity, and energy supply chains. If time and budget allow, the candidate may also explore how the potential impacts vary by sector.

Experience compiling publicly available data to generate local greenhouse gas emissions inventories, statistical analysis, and Python programming skills are requirements for this position. Familiarity with energy policy is desirable.

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Basic Qualifications

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.

Please Note:
• Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
• If selected for position, a letter of recommendation will be required as part of the hiring process.
• Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

• Currently pursuing a BS, MS, or PhD degree in math, science, engineering, or any other technical discipline.
• Experience compiling publicly available data, ideally including (1) generating local greenhouse gas emissions inventories and (2) studying emissions from industrial facilities.
• 2+ years of Python programming experience, including at leas