Posting Title

Postdoctoral Researcher – Data Analytics for Power Systems

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Location

CO - Golden

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Position Type

Postdoc (Fixed Term)

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Hours Per Week

40

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COVID-19 Safety Protocols

Employment at NREL is contingent upon your compliance with all NREL and U.S. Department of Energy (DOE) safety protocols and mitigation efforts directed at the COVID-19 pandemic.

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

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.

The Sensing and Predictive Analytics group at NREL is looking for an accomplished and dynamic candidate with sharp problem-solving skills, focus on impactful solutions, a growth mindset, and excellent collaboration skills to join our cutting-edge research team to work on data-driven technology for power systems operation, forecasting of renewable energy and load, and system identification. The candidate should demonstrate theoretical and practical knowledge in applied mathematics and strong power systems domain knowledge and have experience developing software tools. The candidate will be part of the Sensing and Predictive Analytics group under the Power Systems Engineering Center (PSEC) at NREL. PSEC supports the science and technology goals of the U.S. Department of Energy and NREL toward a sustainable energy future. The center works with the electricity industry to optimize strategies for effectively interconnecting renewable resources and emerging energy efficiency technologies in the existing electric power system. The center focuses on resolving grid integration barriers and providing improved control and management strategies for increased grid flexibility, consumer empowerment, and transportation electrification.

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Basic Qualifications
Must be a recent PhD graduate within the last three years.

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Additional Required Qualifications

• Solid knowledge in machine learning, deep learning, and uncertainty qualification
• Solid knowledge in optimization
• Solid power system domain knowledge in power system modeling, power flow analysis, state estimation, dynamics, and stability
• Advanced ability to perform exploratory data analysis and gather actionable intelligence from large datasets using common data science toolkits: e.g., Scikit-learn, TensorFlow, etc.
• Proficiency in one or more of the following programming languages: Python, R, Julia, MATLAB, C, C++
• Proficiency in one or more of the following power system simulation tools: OpenDSS, GridLAB-D, PSS/E, and PSLF

Preferred Qualifications

• Experience with developing mathematical algorithms
• Experience with power system forecasting problems
• Experience with sensors and measurements
• Experience with SAS software
• Broad understanding and wide application of principles, theories, and concepts in operations, controls, and optimization of power systems areas

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Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Postdoctoral Researcher / Annual Salary Range: $71,300 - $117,600

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; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. 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.

* 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, 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.

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