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Schmidt AI in Science Postdoctoral Fellowship is a fellowship from the Vector Institute, supported by Eric and Wendy Schmidt, that funds early-career scholars in engineering, mathematics, and natural sciences who apply AI to advance scientific discovery. Fellows join a research community of over 962 Vector Faculty Members, Faculty Affiliates, and graduate students at the University of Toronto's Schwartz Reisman Innovation Campus.
Fellows propose and carry out independent research with support from 1-2 faculty members, while also having access to collaborate with Vector's 45+ world-class researchers in machine learning, deep learning, computational biology, NLP, reinforcement learning, statistical theory, and AI safety. State-of-the-art compute resources, AI engineering teams, and professional staff support are provided.
Applications are accepted twice yearly: Spring Cohort applications are due February 28, and Autumn Cohort applications are due August 31. Applicants must submit a single PDF with a cover letter, CV, publications, research statement, and three reference letters.
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Postdoctoral Fellowships | AI Research | Vector Institute This is a call to action window which overlays the main content of the page. Pressing the "X" at the top right corner of the modal will close the modal and bring you back to where you were on the page. Vector Distinguished Postdoctoral Fellowships Are you an early career researcher with the potential to become a world-class machine learning scientist?
Vector invites applications for Distinguished Postdoctoral Fellows working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications. Join a dynamic research community Distinguished Postdoctoral Fellows join a thriving research community of over 962 Vector Faculty Members, Faculty Affiliates, Postgraduate Affiliates, and graduate students.
This vibrant ecosystem offers research freedom and opportunities to collaborate within and across research areas in Canada’s leading AI institute.
Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care The New Cartography of the Invisible The Vector Postdoctoral Fellowships experience Propose and carry out research topics of your interest with significant independence.
Work primarily with 1-2 faculty members while having access to collaborate with any of Vector’s 45+ world-class faculty in machine learning and deep learning.
Our research areas include: Health – computational biology, genomics Natural Language Processing Reinforcement Learning & Representation Learning Statistical Learning Theory Sequential Decision Making Security, Privacy & Fairness Machine Learning, Deep Learning Engage in teaching and mentoring, entrepreneurial activities, or work with existing companies to enhance your research.
Collaborate with graduate students from the University of Toronto and other affiliated faculty who spend time at the Institute. Access resources of an institute dedicated solely to machine learning and deep learning. Benefit from state-of-the-art compute power, professional staff support, and AI engineering teams who help transform research into practical applications.
Located at the University of Toronto’s Schwartz Reisman Innovation Campus, surrounded by leading scholars, entrepreneurs, and industry partners. Daily collaboration and idea exchange through talks, seminars, and tutorials foster breakthrough discoveries.
Schmidt AI in Science Fellowship Vector proudly supports the Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, early-career scholars in engineering, mathematics, and natural sciences applying AI to advance scientific discovery. Postdoctoral Fellowship application deadlines The Hiring Committee reviews applications twice yearly in March and September.
Submit complete application as one PDF document including cover letter, CV, publications, research statement, and three reference letters. Spring Cohort: Applications due February 28, 23:59 EST Autumn Cohort: Applications due August 31, 23:59 EST Ready to launch your research career?
Vector’s Distinguished Postdoctoral Fellows carry out state-of-the-art research, publish at the highest international level, and contribute to Vector’s academic excellence. Applications are reviewed on a rolling basis twice per year.
Based on current listing details, eligibility includes: Early-career scholars in engineering, mathematics, and natural sciences applying AI to advance scientific discovery. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice 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.
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.
America's Seed Fund (SBIR/STTR) - Cybersecurity and Authentication is sponsored by U.S. National Science Foundation (NSF). Supports startups and small businesses to translate research into products and services, including cybersecurity and authentication, to secure national defense and protect the public. Includes research requiring privacy and security-preserving resources for artificial intelligence.