AI Funding Opportunities

Below is a list of funding opportunities specifically related to artificial intelligence (AI) and related research topics.

Subscribe to the biweekly Eberly College Research Newsletter to be notified about upcoming funding opportunities and other research-related news. Check back for updates to this page and the other funding opportunity webpages.

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NSF Funding Opportunities:

Artificial Intelligence, Formal Methods, and Mathematical Reasoning

The Artificial Intelligence, Formal Methods, and Mathematical Reasoning program seeks to support research at the interface of innovative computational and artificial intelligence (AI) technologies and new strategies/technologies in mathematical reasoning to automate knowledge discovery. Mathematical reasoning is a central ability of human intelligence that plays an important role in knowledge discovery. In the last decades, both the mathematics and computer science communities have contributed to research in machine-assisted mathematical reasoning, encompassing conjecture, proof, and verification. This has been in the form of both formal methods and interactive theorem provers, as well as using techniques from artificial intelligence. Recent technological advances have led to a surge of interest in machine-assisted mathematical reasoning from the mathematical sciences, formal methods, and AI communities. In turn, advances in this field have potential impact on research in AI.
Deadlines: February 5, 2026

Postdoctoral Research Fellowships in Biology (PRFB)

NSF’s PRFB Program supports postdoctoral fellowships that train early-career scientists to apply AI to biological research, simultaneously advancing biotechnology innovation and preparing future leaders at the intersection of AI and biology. This program seeks to fund recent doctoral degree recipients who propose projects with a research and training focus at the Intersection of Artificial Intelligence and Biological Sciences to Strengthen and Safeguard Biotechnology Innovations. Applicants should consider how to leverage the nation's diversity of existing biological data and biological infrastructure. The training and knowledge generated in the projects is expected to produce actionable information for biotechnology and a cadre of AI-experts prepared for the next era in biology. Read the full solicitation for requirements and additional details.

Deadline: September 29, 2026

Science of Learning and Augmented Intelligence

This program supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes, and mechanisms of learning, and about augmented intelligence—how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective, and behavioral processes; and social and cultural influences. The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making, and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans.
Deadline: To be announced

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)

The purpose of this interagency program solicitation is to support the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral, and/or cognitive research to address pressing questions in the biomedical and public health communities. Transformations hinge on scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze, and interpret data from individuals, devices, and systems in order to enable discovery and optimize health. Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering.

Deadline: To be announced