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Posting Title

Graduate (Year-Round) Intern - Applied Mathematics for Grid Operations During Extreme Events

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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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

The AI, Learning and Intelligent Systems Group in the NREL Computational Science Center has an opening for a graduate student researcher in grid operations and renewable energy forecasting. Emphasis is placed on using AI/ML, applied mathematics, and statistics in innovative ways to solve problems in power systems operations and planning problems. This work will involve using large data sets, NREL domain-specific infrastructure models, machine learning tools, and probabilistic forecasting techniques to build uncertainty sets describing power demand and renewable energy generation at geographically distributed locations for multiple timescales.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NREL. The successful candidate will collaborate with NREL staff and researchers to design and implement data-informed renewable energy and load forecasting to enable resilient grid control under extreme weather events. This position is available full-time during summer and part-time during spring and fall.

Responsibilities include:

  • Assist in developing AI/ML-based models for electric demand timeseries forecasting.
  • Collaborate with NREL researchers to create synthetic transmission grids representing future renewable infrastructure buildouts.
  • Employ renewable energy forecasting to accurately simulate grid operations under severe weather events.
  • Understand and utilize flagship NREL software frameworks (reV, ReEDS, Sienna) to generate input data and perform simulations of electric grid control.
  • Process and visualize results from numerical simulations to inform grid control operation and planning decisions.

Author, present and assist in the preparation of technical papers, reports and conference proceedings.

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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

Preferred Qualifications

  • Demonstrated experience programming in multiple languages such as Python and/or Julia on Unix/Linux systems.
  • 2+ years experience using PyTorch or Tensorflow or a related AI/ML framework.
  • Demonstrated experience working with large data sets (e.g., NWP outputs, NSRDB, WIND Toolkit, etc.) and interfaces for science applications, including data processing and analysis tools.
  • Experience with high-performance computing, distributed computing, and related technologies.
  • Ability to quickly learn new programming languages and frameworks and adapt to changing research demands in a fast-paced scientific environment.
  • Demonstrated experience developing workflows, including job scheduler integration, data management of big datasets, data movement, and data availability/sharing with remote users and systems.

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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)

Job Profile: / Annual Salary Range: $42,700 - $68,300

NREL takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.

Benefits Summary

Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

  • Based on eligibility rules

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

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. 

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