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Working at NREL

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.

Job Description

The Integrated Modeling and Economic Analysis Group develops and applies energy and economic models to evaluate and inform the evolution of the energy system and the associated implications for the economy, environment, and society. We are looking forward to welcoming a new researcher intern to our team to contribute to a growing body of research evaluating alternative pathways to cross-sectoral decarbonization of the US economy.

Working with senior researchers, the successful candidate will assist with data and complementary coding for the Fuels and Industry Integrated Optimization (FINITO) model—a new model simulating the evolution of the US industrial and fuel supply sectors—to a range of research topics, including:

• evaluation of the implications of alternative policy designs for industrial decarbonization,
• evaluation of effects of research and development (R&D) driven improvements to the cost and performance of clean energy technologies,
• evaluation of how industrial decarbonization would interact with other energy sectors (e.g., electricity),
• explore impacts of a clean manufacturing transition on US manufacturing competitiveness.

In particular, the researcher will contribute to identifying, synthesizing, and implementing new data within the FINITO modeling structure; editing processing scripts; data workflow and updates; visualization of data via Tableau. In addition, the intern will assist in communication products, including presentations to deliver at workshops/conferences, technical articles for submission to peer-reviewed journals, as well as shorter written products for policy audiences.

The ideal candidate will have a high level of enthusiasm to expand one’s knowledge of the energy system, learn new skills, and apply such knowledge and skills to help identify how the US can transition to a sustainable energy system, what the implications are for society, and how policy can be designed to help shape those outcomes. We welcome applicants pursuing advanced degrees from any field, but a strong applicant must have experience developing and applying python scripts and a solid background in data management and analysis.

Job responsibilities include:

• Assisting in research that generates independent, high quality, and reproducible results.
• Research, acquisition, and analysis of large data sets.
• Assist in development of new data architectures to flexibly describe infrastructure systems.
• Assist in executing scenarios and visualizing, analyzing, and interpreting results.
• Assisting senior researchers in the design, implementation, and reporting of the research project.
• Contributing to technical reports, journal articles, and presentations.

While this position is advertised at an average of 20 hours per week, the hiring team can also consider applicants who express interest in working for 40 hours per week.

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Basic Qualifications

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

• Demonstrated experience in code-based data management and analysis using leading coding environments: e.g., Python,
• Working knowledge of decarbonization literature,
• Exceptional teaming and organizational skills,
• Familiarity with GAMS.

Preferred Qualifications

• Working knowledge of all subsectors of the US energy system and associated markets, policies, and regulations.
• Pursing a PhD in economics (with a focus on energy/environment), policy, engineering or other related field; however, we encourage applicants with training in any field to apply if they have interest and experience in the energy sector and experience with quantitative methods, especially optimization.
• Familiarity with developing and applying optimization models (ideally in energy system applications) and experience with leading modeling coding environments, e.g., GAMS, MPSGE, Julia.

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)

Benefits Summary

* Based on eligibility rules

Badging Requirement

Drug Free Workplace

NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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EEO Policy

NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations

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