Energy, Power, Control, and Networks (EPCN) Program

The Energy, Power, Control, and Networks (EPCN) Program supports innovative research in foundational systems, control and optimization methodologies, as well as in analysis, control and design of electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics; battery management systems; electric machines and drives; energy harvesting systems; hybrid and electric vehicles; and the interplay of power grids with associated regulatory and economic structures and with consumer behavior. The program scope in fundamental systems and control research includes optimization, learning, networked multi-agent systems, higher-level decision making, and dynamic resource allocation, game-theoretic approaches, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN also supports other applications research that is synergistic with its focus on methodological developments in systems, control, optimization and learning, such as in the areas of transportation, robotics, automated safety and environmental monitoring systems, among others.

Responsibilities

Responsibilities of the program Director include, for example, long-range planning and budget development for the areas of science represented by the program or program cluster, the administration of the merit review process and proposal recommendations, the preparation of press releases, feature articles and material describing advances in the research supported, and coordination and liaison with other programs in NSF, other Federal agencies and organizations.

Qualifications

Candidates must have a Ph.D. in a relevant field plus after award of the Ph.D., six or more years of successful research, research administration, and/or managerial experience pertinent to the position.

Relevant fields include Engineering, Mathematics, Computer Science, and/or Physics.

Salary Range

$160,889 - $206,279

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