Postdoctoral Researcher – Data Analytics for Power Systems

National Renewable Energy Laboratory

Mar 26

Applications are closed

Job
Full-time
Entry Level
Research & Development
Data
$73.2K - $120.8K
Golden

Requirements

Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
Additional Required Qualifications:
Must be a recent PhD graduate within the last three years.
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

Responsibilities

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.
This postdoctoral researcher may contribute to multiple projects with objectives in developing data driven and machine learning technologies. The successful hire will contribute to building open source data sets and advanced Distributed Energy Resource (DER) management algorithms. The successful candidate will apply familiarity with distribution system operation, data analytics and machine learning technology for high penetration solar PV technology applications. The successful candidate will be familiar with Distribution system simulations and will ideally be familiar with co-simulation approaches.

National Renewable Energy Laboratory

Science & Healthcare

Industry

1001-5000

Employees

1977

Founded Year

Mission & Purpose

The National Renewable Energy Laboratory (NREL), a Department of Energy national lab, is #TransformingEnergy as the nation's primary laboratory for renewable energy and energy efficiency research and development. NREL's Mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals. NREL's Strategy: NREL has forged a focused strategic direction to increase its impact on the U.S. Department of Energy's (DOE) and our nation's energy goals by accelerating the research path from scientific innovations to market-viable alternative energy solutions.