Experience:
3-5 years of experience
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Employment Type:
Full time
Posted:
11/29/2017
Job Category:
Engineering
Industry:
Government
Postdoctoral Researcher – Data-Driven Power System Analysis
(This job is no longer available)
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Job Description

The Sensing and Predictive Analytics group at NREL is looking for an accomplished and dynamic candidate with a positive attitude and excellent collaboration skills to join our cutting-edge research team to work on data-driven technology for energy systems planning and operation. The ideal candidate will bring a strong track record in data-driven power system modeling and analysis, measurement-based operation and control, machine learning and signal processing. The candidate should demonstrate experience in theory and algorithms development and programming skills.

The successful candidate will work towards the development of optimal sensor placement and selection, for power systems with high penetration of distributed energy sources. 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.

The job responsibilities include:

  • Publish results in top technical journals and conference proceedings; present work at conferences, symposia, and review meetings
  • Collaborate with management and senior staff to develop proposals in the area of data analytics for next-generation energy systems
  • Execute major projects as a principal technical contributor
  • Demonstrate leadership in several areas of team, task, or project lead responsibilities
  • Provide reports on technical work and input to technical publications and presentations
  • Follow all Environment, Safety, and Health policies and procedures to ensure and maintain a safe working environment

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Required Education, Experience, and Skills

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

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Preferred Qualifications

Ideal candidates will have a background and expertise in one or more of the following topics:

  • Stability analysis and prediction using synchrophasors
  • Interconnection-wide and distribution level synchrophasor measurement data analytics
  • Measurement-based approach to model, predict and control large-scale power grids
  • Hardware development and testing experience with DSP, PLC, and microcontroller
  • Machine learning
  • Convex and nonconvex optimization
  • Proficiency in one or more of the following programming languages: Matlab, C, Python, and Fortran
  • Proficiency in one or more of the following power system analysis tools: PSS/E and PSLF, DSA Tools, PSCAD, PowerWorld, Digsilent, EMTP, and RTDS
  • Familiarity with latest findings in state estimation and forecasting within the context of power systems and renewable generation
  • Demonstrates broad understanding and wide application of principles, theories, and concepts in operations, controls, and optimization of power systems areas
  • General knowledge of other related disciplines
  • Knowledge of communication protocols used in power systems

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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 dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. For additional information, click here.

About National Renewable Energy Laboratory

At NREL, we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.