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Graduate (Year-Round) Intern - Deep Learning Applied to Customer Energy Profiles

Posting Title
Graduate (Year-Round) Intern - Deep Learning Applied to Customer Energy Profiles
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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 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.
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
Organizationally, this position resides in the Integrated Devices and Systems Group (IDS) of the Power Systems and Engineering Center (PSEC). IDS, PSEC, and NREL are committed to fostering a creative, curiosity-driven, inclusive workplace, and to supporting and mentoring research staff along all phases of their careers.
The IDS group is engaged in multiple projects focused on developing better understanding of distributed energy resources' (DERs) impact on both the distribution and transmission systems across the US. This group is developing new techniques to model and forecast short-term load flexibility. The ideal intern candidate will work with deep learning, machine learning, and other iterations of artificial intelligence to contribute to this work.
This internship is expected to last at least through fall/winter 2023, with possibility for extension as funding and intern interest allows.
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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.
  • Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • Experience with time-series data forecasting
  • Experience with energy and power system modeling
  • Excellent writing and communications skills
  • Ability to present technical results to a wide audience
Research interests:
  • Strong interest in future energy systems, including renewable energy, electrification, power system operations and distributed energy resources.
  • Enthusiastic about learning new skills and applying them in a collaborative environment to help address critical energy system research questions.
Preferred Qualifications
  • Experience with power profile modeling (i.e.. substation, feeder, and customer profiles)
  • Previous experience writing technical papers
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Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Graduate II / Annual Salary Range: $41,600 - $66,600
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
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
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Pay Transparency Nondiscrimination
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Reasonable Accommodations
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Our emphasis is on a comprehensive energy approach that encompasses the relationship among key systems: Fuel production Transportation The built environment Electricity generation and delivery. Our systems integration approach will accelerate th...

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DATE POSTED
July 22, 2023

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