Research - Laboratory/Non-Laboratory, Staff/Administrative
Why Work at BNL?
Brookhaven National Laboratory delivers discovery science and transformative technology to power and secure the nation's future. Primarily supported by the U.S. Department of Energy's (DOE) Office of Science, Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research.
Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization.
The Interdisciplinary Science (IS) Department at Brookhaven National Laboratory (BNL) is seeking a Scientist with an Electrical Engineering and Data Analytics background and at least 3 years of experience to perform research in the areas of electric grid modernization and application of data analytics for grid planning and operation to improve grid reliability and resilience. The IS Department, in collaboration with others, is performing research in the areas of electric grid modernization and grid integration of renewable energy generation. The goal of our research is to contribute to the development of the next generation Smart Grid, including the application of innovative Smart Grid technologies that could enhance the performance, reliability and resilience of the distribution portion of the grid.
This position is for a two-year appointment as a member of the BNL Scientific Staff assigned to the IS Department, reporting to the Renewables and Grid Analysis manager, Robert Lofaro.
Responsible for developing and performing independent new research projects related to the use of data analytics for enabling the next generation electric grid to realize the full potential of innovative new smart grid technologies, including smart sensors, to improve the performance, reliability and resilience of the grid.
Essential Duties and Responsibilities:
Develop and lead, with minimal supervision, sponsor funded research projects related to grid modernization.
Collaborate with other researchers in the IS department, as well as staff from other departments at BNL, including the Computer Science Initiative group to provide broad expertise for complex projects.
Conceptualize new grid research projects, develop and present project proposals to potential sponsors, and leading the performance of funded projects.
Technical activities will include modeling and analysis of electrical systems with integrated DER, application of data analytics and machine learning techniques to develop tools and techniques for enhanced grid planning and operation, review and analysis of operational data obtained from utility partners, and evaluation of innovative new technologies for applications to smart grids.
PhD in electrical engineering with focus on power systems and modeling and analysis of electrical networks.
Working knowledge of the electrical power grid, including both transmission and distribution system planning functions, operations, and restoration following outages, as well as the associated power grid energy markets and how they operate.
At least 3 years of experience in data analytics for application to planning and operation of the electric power grid to improve grid reliability and resilience.
Experience modeling electrical networks with integrated distributed energy resources (DER), such as solar, wind, grid-scale storage and load management functionality (e.g., demand-response)
Experience with one or more power system analytical software programs currently used in the power industry, such as PSCAD(tm), SimPowerSystems(tm), OpenDSS, CYME, PSS(r)E , or hardware-in-loop (HIL) simulators such as RTDS and OPAL-RT
Demonstrated success or experience in developing and executing sponsor funded research programs, including concept development, proposal writing, budget preparation and project planning.
Preferred Knowledge, Skills and Abilities:
Candidates with existing sponsor relationships and funded grid research projects are preferred.
Other Information: The selected candidate will be placed at the appropriate level based on the depth and breadth of relevant knowledge and skills.
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At Brookhaven National Laboratory we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
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BNL takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Internal Number: 2491
About Brookhaven National Laboratory
Brookhaven National Laboratory is a multipurpose research institution funded primarily by the U.S. Department of Energy’s Office of Science. Located on the center of Long Island, New York, Brookhaven Lab brings world-class facilities and expertise to the most exciting and important questions in basic and applied science—from the birth of our universe to the sustainable energy technology of tomorrow. We operate cutting-edge large-scale facilities for studies in physics, chemistry, biology, medicine, applied science, and a wide range of advanced technologies. The Laboratory's almost 3,000 scientists, engineers, and support staff are joined each year by more than 4,000 visiting researchers from around the world. Our award-winning history, including seven Nobel Prizes, stretches back to 1947, and we continue to unravel mysteries from the nanoscale to the cosmic scale, and everything in between. Brookhaven is operated and managed by Brookhaven Science Associates, which was founded by the Research Foundation for the State University of New York on behalf of Stony Brook University, and Battelle, a nonprofit applied science and technology organization.