Postdoctoral Research Associate Electrical EngineeringJob ID 2111 Date posted 06/01/2020
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 IS Department, in collaboration with others, is performing research in the areas of Smart Grid development 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 applications of innovative Smart Microgrid technology that could form the building blocks of the distribution portion of the grid. One project the successful candidates will support is to identify cascading failure mechanisms and develop a data-driven, deep learning-based solution to prevent the propagation of cascading failures when the grid is challenged by unexpected contingencies or combinational contingencies under uncertain environments.
The Interdisciplinary Science (IS) Department at Brookhaven National Laboratory (BNL) is seeking a Postdoctoral Research Associate to perform research in the areas of Smart Grid development and grid integration of renewable energy generation.
This position will be a two-year term appointment, reporting to the Renewables and Grid Analysis Group Leader, Robert Lofaro.
Essential Duties and Responsibilities:
- Work with other researchers on the project team in support of various studies and programs, including grid modeling and analysis
- Statistical data analyses
- Probabilistic planning and writing reports on the analysis results
Required Knowledge, Skills, and Abilities:
- PhD in electrical engineering with broad knowledge of electric power systems and a strong background in machine learning applications in the power grid.
- Experience with nonlinear system analysis and control synthesis, modeling electrical networks with integrated renewable energy sources
- Python and/or Matlab programming.
- Effective written and oral communication skills.
- Ability to work with others as part of a project team.
Preferred Knowledge, Skills, and Abilities:
- Experience with data analytics and statistics background as well as tools such as Hardware-in-loop simulators, PSS/E, PSCAD, or OpenDSS
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