Postdoctoral Research Associate - Electric Power System
About The Position
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program The Interdisciplinary Science (IS) Department , in collaboration with others, is performing research in the areas of renewable integration and grid modernization. The goal of our research is to contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful candidates will support projects on the planning, operation, and control of future power grids accounting for renewables and electrification to achieve clean energy goals using state-of-the-art technologies. The IS Department at Brookhaven National Laboratory (BNL) is seeking a Postdoctoral Research Associate for a one-year appointment, with an opportunity for a one-year renewal, to perform research in the area of electric power grids.
Requirements
- A Ph.D. with a broad knowledge of electric power systems.
- A strong background in artificial intelligence (AI)/machine learning (ML) applications in the power grid.
- Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab programming.
- Good written and oral communication skills, be willing to take direction, and be able to work with others as part of a project team.
Nice To Haves
- Experience with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata.
- Knowledge of cybersecurity of industrial control systems and/or quantum computing.
Responsibilities
- Perform cyber-physical system modeling and simulation for the power grid.
- Perform research on power system dynamics and control under high inverter-based resources (IBRs).
- Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity.
Benefits
- comprehensive employee benefits program
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
