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AI PhD Fellowship Program is sponsored by Amazon. This program provides funding for PhD students at nine universities who are pursuing research on core AI disciplines such as machine learning, computer vision, and natural-language processing. The goal is to drive innovations in practical AI.
Fellows are also paired with an Amazon mentor. The program emphasizes work that promises a substantial impact on practical AI problems, including agentic systems, large language models, and generative AI.
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Search similar grants →Based on current listing details, eligibility includes: PhD students at participating universities (Carnegie Mellon University, Massachusetts Institute of Technology, Stanford University, University of California, Los Angeles, University of Illinois Urbana-Champaign, University of Washington, and others). Selection is made by the universities, prioritizing work with substantial impact on practical AI problems. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Two years of funding (exact amount varies by university, covers tuition, stipends, and fees) plus annual AWS cloud-computing credits. 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.
Past winners and funding trends for this program
The JHU-Amazon Initiative for Interactive AI (AI2AI) Sponsored Research Awards is a grant from Amazon Science and Johns Hopkins University that funds academic research on interactive artificial intelligence, including large language models for interactive assistance and AI-accelerated scientific discovery. Awards are structured as unrestricted gifts to the principal investigator's institution, with Amazon retaining no intellectual property rights to resulting work. Research focus areas include information and knowledge management, operations research, security and privacy, and AI systems that support human-AI collaboration. Eligible applicants are full-time faculty at Johns Hopkins University collaborating with Amazon scientists; other institutions may participate as sub-awardees in select cycles. Awards are up to $100,000.
AWS re/Start Programme is a fully-funded, cohort-based workforce development training program from Amazon Web Services designed to help unemployed or underemployed individuals — including underrepresented groups, minorities, and young people — launch careers in cloud computing. No prior technology background is required. Participants receive free instructor-led training in Linux, Python, networking, security, databases, and core AWS Cloud skills through hands-on labs and real-world scenarios. The program also includes professional skills development such as resume writing and interview coaching. Upon completion, graduates gain access to AWS Certification exam preparation and the AWS Emerging Talent Community, connecting them with potential employers for entry- to mid-level cloud roles.