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Find similar grantsEnergy, Power, Control, and Learning (EPCL) is sponsored by National Science Foundation (NSF) Directorate for Engineering (ENG), Division of Electrical, Communications and Cyber Systems (ECCS). The EPCL program invests in fundamental research to advance the capabilities, performance, security, and resilience of engineered systems.
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Energy, Power, Control, and Learning (EPCL) | NSF - U.S. National Science Foundation Energy, Power, Control, and Learning (EPCL) Important proposal submission information Proposals for this program currently must be submitted through Research. gov by selecting NSF 24-1 - NSF Proposal & Award Policies & Procedures Guide (PAPPG) as the funding opportunity.
Under NSF 24-1, select Directorate for Engineering (ENG); Division of Electrical, Communications and Cyber Systems (ECCS); and the program name. Proposals for this program cannot currently be submitted through Grants.
gov. Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements . All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.
Supports research on control and learning theories and methods, as well as the design and analysis of complex engineered systems, to enhance the operation, performance and reliability of systems for power, energy and other national needs.
Supports research on control and learning theories and methods, as well as the design and analysis of complex engineered systems, to enhance the operation, performance and reliability of systems for power, energy and other national needs. The Energy, Power, Control, and Learning (EPCL) program invests in fundamental research to advance the capabilities, performance, security and resilience of engineered systems.
These advances can benefit the U.S. power grid, transportation, manufacturing, healthcare and other critical infrastructure systems that enable economic growth and prosperity. EPCL supports research on systems and control, learning, optimization, and networked multi-agent systems.
The program addresses a wide variety of systems and decision-making issues; examples include higher-level decision making, dynamic resource allocation, risk management in the presence of uncertainty, sub-system failures, and game theory for system control and learning, as well as stochastic and hybrid systems.
EPCL research may also involve advances in artificial intelligence (AI); examples include novel machine learning algorithms, new AI-assisted tools, adaptive programming, and brain-like networked architectures for real-time learning. The program encourages collaboration among different fields to advance knowledge that will lead to new methods and technologies.
While projects focus on fundamental advances in knowledge, they should ideally provide a clear vision of how research can influence real-world applications. These may include energy, transportation, robotics, biomedical devices and systems, or other uses. EPCL is committed to supporting advances in the theory and technology of electric power systems.
Such research can address issues related to generation, transmission, storage, inverter-based energy sources; power electronics and drives; battery management systems; energy harvesting; hybrid and electric vehicles; and the interplay of power system operation with regulatory and economic structures and consumer behavior.
The program also supports research that addresses emerging challenges stemming from societal trends in energy production and consumption, such as changes in energy sources for the power grid or growth in data centers. Partnerships: To speed discovery and innovation, NSF partners with federal agencies, industry, international groups, and others. Current opportunities are at NSF ENG Partnerships .
This program advances NSF’s mission as given in the NSF organic statute (42 U.S.C. 1861, et seq.) Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Engineering (ENG) Division of Electrical, Communications and Cyber Systems (ENG/ECCS)
According to the current listing, eligibility includes: Proposals are submitted by scientists, engineers, and educators. Confirm the full requirements in the official notice before applying.
Energy, Power, Control, and Learning (EPCL) is funded by National Science Foundation (NSF) Directorate for Engineering (ENG), Division of Electrical, Communications and Cyber Systems (ECCS). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.
NSF 26-503 replaces the long-running CyberCorps Scholarship for Service with CyberAICorps — a dual-authorized program written against two statutes that explicitly fuses AI competency into the federal cybersecurity workforce pipeline. The July 21, 2026 deadline is the first chance to compete under the new framework, and the $2.5M Scholarship Track and $500K Innovation Track each have constraints that will determine which institutions get a foothold.
Read articleThe CyberAICorps Scholarship for Service (NSF 26-503) rebuilds the 25-year-old SFS program around AI. Institutions can win up to $2.5M to fund students at $27K–$37K a year plus a $6K professional allowance, in exchange for a government-service commitment. The FY27 competition closes July 21, 2026 — here's how the program actually works and who should apply.
Read articleNSF folded artificial intelligence into its flagship CyberCorps Scholarship for Service and relaunched it as CyberAICorps (NSF 26-503). Here is what the $27K–$37K student stipends, the government-service obligation, and the two tracks mean for universities — and why the July 21 Scholarship Track deadline is a signal, not just a date.
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