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The Google DeepMind AI Master's Scholarships is a scholarship program from Google DeepMind that funds students pursuing competitive AI and AI-adjacent master's degree programs at select partner universities. The program covers full tuition and housing for recipients, reducing financial barriers to advanced AI education.
Eligible applicants must be newly admitted to a qualifying master's program at one of the designated partner institutions. The program is administered through the Institute of International Education (IIE) and is designed to support the next generation of AI researchers and practitioners. No specific deadline is listed; applicants should check with partner universities for admissions timelines.
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# Google DeepMind AI Master’s Scholarships | IIE * Scholarships & Programs * ServicesToggle submenu for: Services * Scholarships and Fellowships * Training and Capacity Building * International Education * Global Outreach and Recruitment * Study Tours and Delegations * Evaluations and Impact Studies * US Exchange Visitor Sponsorship * English Language Proficiency (TOEFL) * IIE’s Sponsors & Partners * Get InvolvedToggle submenu for: Get Involved Google DeepMind AI Master’s Scholarships * Eligibility and Application Process # **Google DeepMind AI Master’s Scholarships** Google DeepMind is committed to making AI more accessible to the next generation.
The Google DeepMind Scholarships program advances access to higher education by supporting partner universities’ efforts to build a stronger AI community, helping bring a wider range of educational experiences to AI and AI-adjacent fields. The program supports talented students with limited financial means to pursue postgraduate study and careers in AI.
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Based on current listing details, eligibility includes: Applicants must be newly admitted to a competitive AI and AI-adjacent master’s degree program at one of the partner universities. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Full tuition and housing coverage Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.
The Climate Change AI Innovation Grants program supports catalytic projects using AI and machine learning for climate action, funding research and deployment challenges in climate change mitigation, adaptation, and climate science. Projects must create publicly available datasets and tools as digital public goods, and release open-source code. The program builds partnerships between academic researchers, non-profits, startups, companies, and governmental organizations to accelerate the research-to-deployment cycle. Past funded projects span climate modeling, emissions monitoring, renewable energy optimization, and disaster prediction across all continents.
AI Futures Fund is a program from Google LLC (Google DeepMind and Google Labs) that funds AI startups and companies building next-generation AI-powered products. The program provides early access to advanced AI models including Gemini, Veo, and Imagen, along with opportunities to collaborate with researchers, designers, and engineers from Google DeepMind and Google Labs. Participants may seek direct equity investment from Google and receive Google Cloud credits plus dedicated technical support to build, train, and scale AI-powered products. Eligible applicants are AI startups and companies subject to Google Cloud eligibility requirements. Specific funding amounts are not publicly listed. No deadline is published; interested companies should apply through Google's AI Futures Fund portal.
Digital Cities' Innovation Accelerator Small Grant Program is sponsored by U.S. State Department's Bureau of Cyberspace and Digital Policy (CDP). These small grants activate the private sector to deliver novel and innovative solutions to civic challenges. Projects must address a sub-national public service or infrastructure need AND incorporate trusted U.S. digital based solutions, empowering municipalities to improve public service delivery.
This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.