National Renewable Energy Laboratory Graduate Year-Round Intern - Applied Mathematics to Power Grid Resilience with High Penetrations of Renewables in Golden, Colorado
Graduate Year-Round Intern - Applied Mathematics to Power Grid Resilience with High Penetrations of Renewables
CO - Golden
Intern (Fixed Term)
Hours Per Week
Mandatory COVID-19 Vaccination Protocols
Employment at NREL is contingent upon your compliance with all NREL and DOE safety protocols and mitigation efforts directed at the COVID-19 pandemic. At present, NREL requires all employees to be immunized against COVID-19. Upon hire, new employees must be prepared to provide proof of vaccination on your first day of employment. All employees must have completed vaccinations by November 1, 2021.
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 eight 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.
The Complex Systems Simulation and Optimization Group has an opening for a graduate student intern in applied mathematics, machine learning, and artificial intelligence. Emphasis is placed on applying machine learning algorithms and artificial intelligence to critical load restoration and resilient operations of power grids with high penetrations of renewable energy resources. We are looking for a dynamic, motivated graduate student with a strong technical background and an interest in the mission of NREL.
The successful candidate will collaborate with NREL staff and researchers to contribute to: i) the development of machine learning-based critical load restoration approaches for distribution systems with distributed energy resources, and ii) operations of large transmission systems with high penetrations of renewable energy resources. The successful candidate will contribute knowledge and experience towards research and development activities paramount to addressing national goals for the utilization of renewable energy and energy efficiency technologies.
Conduct collaborative research with NREL researchers to implement and tune machine learning-based critical load restoration controllers for use on distribution systems with distributed energy resources, evaluate controller outputs, and develop novel approaches to handling uncertainty. Also conduct research involving the development of novel approaches to operating power grids with high penetrations of renewables and accompanying uncertainties. Assist in the preparation of technical papers, reports, and conference proceedings on topics related to critical load restoration, power grid operations under uncertainty, and machine learning.
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. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average.
•You will need to upload 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.
Additional Required Qualifications
Preferred Experience Includes:
A strong background in scientific programming, uncertainty quantification, and applying machine learning algorithms to engineering data sets. Experience with programming tools for science and engineering such as Python (NumPy, SciPy, Matplotlib, Pandas, etc.), Julia, C++, or Matlab. Experience with machine learning libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, and scikit learn is a plus. Experience with libraries for parallel computing, such as Dask, and experience running jobs on HPC systems with workload managers such as Slurm is also a plus. Previous research involving transmission and/ or distribution systems is a plus, as is work on forecasting renewable energy resources.
Annual Salary Range (based on full-time 40 hours per week)
Annual Salary Range: $39,600 - $63,500
Offers will typically be made in the bottom half of the listed range. NREL takes into consideration a candidate’s education, training, and experience, as well as the position's work location, 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 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
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.
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, 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 (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) | Pay Transparency Nondiscrimination (https://www.dol.gov/ofccp/pdf/pay-transp_English_unformattedESQA508c.pdf) | Reasonable Accommodations (http://www.nrel.gov/careers/employment-policies.html)
E -Verify www.dhs.gov/E-Verify |For information about right to work, click here (http://www.justice.gov/sites/default/files/crt/legacy/2013/08/13/FinalOSCPosterEN08_01_2013.pdf) for English or here (http://www.justice.gov/crt/file/813271/download) 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.
The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.
NREL is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview. DOE rules for site access during the interview process are the same regardless of whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NREL by the Department of Energy (DOE). We understand that COVID-19 may have caused delays or closures at offices, consulates, and embassies. However, NREL cannot make exceptions to work authorization and access requirements, and exceptions to these requirements are not being made for COVID-19 related delays.
Please review the information on our Hiring Process (https://www.nrel.gov/careers/hiring-process.html) website before you create an account and apply for a job. We also hope you will learn more about NREL (https://www.nrel.gov/about/) , visit our Careers site (https://www.nrel.gov/careers/) , and continue to search for job opportunities (https://nrel.wd5.myworkdayjobs.com/NREL) at the lab.