Graduate Student Intern – Machine-Learning-Based Load Modeling

Graduate Student Intern – Machine-Learning-Based Load Modeling jobs at

Graduate Student Intern - Machine-Learning-Based Load Modeling

Posting Title

Graduate Student Intern - Machine-Learning-Based Load Modeling





Position Type

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 prior to starting with NREL.

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 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.

Job Description

Job Duties and Responsibilities:

  • Working with NREL research engineers to investigate machine learning based load modeling approaches
  • Investigate different load profile clustering methods.
  • Develop systematic data-driven load profile modeling methods for distribution systems
  • Document the works done within internship into a peer-reviewed paper
  • Following all Environment, Safety, and Health policies and procedures to ensure and maintain a safe working environment.


Basic Qualifications

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.

Please Note:
  • 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

Minimum Qualifications

Enrolled as a Master or Doctoral graduate student

Preferred Qualifications

Preferred Qualifications

Basic experience in power systems design, planning and modeling, and renewable energy technologies, along with related modeling and data analysis for distribution systems (e.g., machine learning based approaches). Experience with power-flow, or distribution system modeling software such as OpenDSS, and data analysis in Python or MATLAB.


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 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

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.


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, 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 |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.


Published 2022-05-22

National Renewable Energy Laboratory looks for a Graduate Student Intern - Machine-Learning-Based Load Modeling in Machine-Learning-Based Load Modeling - Remote location.

How much Data Science Internship professional earns at National Renewable Energy Laboratory?

The proposed salary for Data Science Internship position at National Renewable Energy Laboratory is $39,600 - $63,500 a year.

Graduate Student Intern - Machine-Learning-Based Load Modeling responsibilities at National Renewable Energy Laboratory

According to the common industry standard, Data Science Internship specialist is in charge for the following activities.

Required Data Science Internship qualifications at National Renewable Energy Laboratory

To be disscussed with candidate