1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsNYPA Workforce Development Funding (AI Fellowship Program) is sponsored by New York Power Authority (NYPA). The New York Power Authority is providing funding for workforce development, including an AI fellowship program with the University at Buffalo's Institute for Artificial Intelligence and Data Science (IAD).
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
NYPA, UB launch AI fellowship program to spur clean energy innovation - UBNow: News and views for UB faculty and staff - University at Buffalo NYPA, UB launch AI fellowship program to spur clean energy innovation UB students and administrators, and officials from the New York Power Authority pose for a photo at the event announcing $832,000 in workforce development funding from the NYPA to support a fellowship program in which UB researchers will harness artificial intelligence to address some of the power industry’s key challenges.
Photo: Meredith Forrest Kulwicki “In partnership with the New York Power Authority, our students will translate research insights into practical solutions that advance a more sustainable and resilient energy future. ” President Satish K. Tripathi Enhancing clean energy systems.
Improving how batteries store power. Designing “virtual power plants” that merge small and disparate energy sources, such as rooftop solar panels, into a single, flexible system. These projects and more are at the center of a new fellowship program between UB and the New York Power Authority that focuses on harnessing artificial intelligence to address some of the power industry’s key challenges.
Announced Thursday at the National AI Institute for Exceptional Education in Lockwood Library, the program is supported by $832,000 in workforce development funding approved by NYPA’s Board of Trustees. “This AI Fellowship program puts cutting-edge technology to work on New York’s most urgent clean energy challenges while creating pathways to meaningful careers,” said NYPA President and CEO Justin E. Driscoll.
“By pairing students with Power Authority experts and university researchers, we are providing the next generation of leaders with the hands-on experience needed to excel in the state’s clean energy economy. ” President Satish K. Tripathi said the program aligns with UB’s commitment to utilize AI for the betterment of society.
“Through this fellowship, the University at Buffalo is strengthening its commitment to advancing AI for the public good by enabling students to apply their expertise to critical clean energy challenges,” said Tripathi. “In partnership with the New York Power Authority, our students will translate research insights into practical solutions that advance a more sustainable and resilient energy future.
” NYPA leaders – including Sandra Bleckman, Ron Carroll, Rob Piascik and Qing Wei – said the AI fellowship program will immerse eight graduate students and one postdoctoral researcher in real‑world grid modernization and clean energy projects. The four areas of focus are: Accelerating Transmission Interconnection for Renewables.
Students will explore how Al can enhance renewable energy systems, leveraging machine learning technology and analytics to identify and prioritize potential transmission interconnection projects. Thermal Energy Load Profiling Framework. Participants will use an AI-based modeling approach that blends data and system knowledge to deliver accurate, real-time insights for planning thermal networks.
Battery Storage Revenue Optimization Tools. Machine learning technology will be used to measure the performance of energy storage systems. Through simulations, students will explore how those systems behave under different conditions and identify strategies to improve their overall efficiency.
Virtual Power Plant Intelligence Platforms. By using software that integrates distributed energy resources and analyzes energy markets, students will identify cost-effective approaches for developing and scaling virtual power plants in support of clean energy.
Venu Govindaraju, senior vice president for research, innovation and economic development and principal investigator on the project, speaks at the event announcing the UB-NYPA fellowship program.
Photo: Meredith Forrest Kulwicki Developed in collaboration with UB’s Institute for Artificial Intelligence and Data Science, the fellowship program will also help build New York’s clean‑energy talent pipeline and accelerate deployment of AI tools that improve the state’s power system.
“UB's AI Fellows will have the opportunity to tackle real‑world challenges while advancing New York State’s clean‑energy future,” said Venu Govindaraju, senior vice president for research, innovation and economic development and the award's principal investigator. “This important collaboration pairs UB’s leadership in AI with NYPA’s operational scale.
” Govindaraju said the program adds to UB’s growing portfolio of AI-focused research and educational projects that aim to make improvements to clean energy, sustainability and associated fields. Efforts include utilizing AI to make the power grid more resilient amid extreme weather , improve the efficiency of wind power and better predict wildfire spread to protect the grid and other key infrastructure.
It also complements UB’s new Department of AI and Society — supported by $5 million in state funding — that is growing rapidly and preparing students for careers in a range of AI-related fields. NYPA leaders spotlighted their support for clean energy workforce training, which supports the efforts of the New York State Department of Labor to connect workers to job opportunities in the clean energy economy.
They also noted NYPA has obligated more than $50 million for clean energy training programs, supporting thousands of trainees and more than 39 workforce training organizations statewide. The graduate students participating in the fellowship program are Utkarsh Bansal, Ziqing Chang, Michael John, Meihuan Liu, Wasi Lone, Qinghua Ma, Peiyao Xiao and Wenyan Zhou. They join postdoctoral researcher Sergey Tulyakov.
According to the current listing, eligibility includes: Qualified workforce development providers, including technical high schools, community colleges, universities, and labor unions. Confirm the full requirements in the official notice before applying.
NYPA Workforce Development Funding (AI Fellowship Program) is funded by New York Power Authority (NYPA). 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.
New AI Fellowship with University at Buffalo and New Programs at Binghamton and Stony Brook is sponsored by New York Power Authority (NYPA). NYPA awarded funding to universities and organizations to develop and expand programs that prepare New Yorkers for high-demand careers in artificial intelligence, electromechanical trades, and advanced power systems to meet the evolving needs of the renewable energy sector.
The Clean Energy Workforce Development Programs grant is from the New York Power Authority (NYPA) that funds organizations providing training and job placement in clean energy fields across New York State. Governor Hochul announced $4 million in total funding in February 2026, approved by the NYPA Board of Trustees, to support seven workforce development initiatives statewide. One recipient, Welder Underground, received $740,000 as part of this investment. The broader program is expected to prepare more than 750 New Yorkers for careers in the clean energy economy. Eligible applicants are organizations and institutions delivering clean energy training and career pathway programs within New York State.
DPA26BZ06-DV023 is a Direct-to-Phase-II SBIR paying $700,000 over 18 months plus a $500,000 option. The physics demands 256x more transmit power than the systems that qualify you to compete, and DARPA will not accept modeling alone as proof. Here is the eligibility wall, the five engineering problems, and who can realistically win it before the October 21 close.
Read articleExecutive Order 14421, signed August 26 and published in the Federal Register on August 31, 2026, prohibits acquisition or installation of covered foreign-produced bulk-power equipment — and applies notwithstanding any contract signed beforehand. DOE implementing rules are due by December 24. Here is what it means if federal grant or loan dollars are paying for the hardware.
Read articleDPA26BZ05-DV019 asks small businesses to reduce ISR video transmission from small drones by 90 to 99 percent while preserving what an operator actually needs, on a Jetson-class board at a 2-watt final power budget. It is Direct-to-Phase-II, up to $1.5 million base plus a $500,000 option, and its exclusion list — no weapon release, no lethal engagement, no named-person identification — is the most strategically revealing paragraph in DARPA's FY26 Release 5.
Read article