Funding Search

An immersive, seven-week experiential training program that prepares NSF-funded researchers to bring technologies from the lab to the marketplace.

Supports research addressing cybersecurity and privacy, drawing on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences.

Supports fundamental research and education on hard and soft materials and related phenomena; the development of associated analytical, computational and data-centric techniques; and predictive materials-specific theory, simulation and modeling.

Supports research and retraining for scientists and engineers after a research hiatus. Supported work must fall within the scope of the Division of Chemical, Bioengineering, Environmental, and Transport Systems or the Division of Chemistry.

Supports principal investigators, postdoctoral researchers and graduate students in conducting research and collaborating with researchers at FDA on topics related to public health and emerging medical device technologies.

Supports the operation of national user facilities that make specialized instrumentation available to the materials research community, support research, and conduct education and public outreach.

Supports conferences, workshops and related activities, such as multi-institutional regional meetings, summer or winter schools, and international group travel to connect the mathematical sciences community.

Supports research in areas of applied and computational mathematics relevant to the biological and life sciences.

The Research in Undergraduate Institutions (RUI) and Research Opportunity Awards (ROA) funding opportunities support research by faculty members at predominantly undergraduate institutions (PUIs). RUI proposals support PUI faculty in research that engages them in their professional field(s), builds capacity for...

Supports the development of next-generation mathematical and statistical tools, and the theory underpinning those tools, to address computational or Big Data challenges.

Supports MPS-Ascending postdoctoral research fellows who transition into tenure track faculty positions in any scientific area supported by the following divisions: Astronomical Sciences, Chemistry, Materials Research, Mathematical Sciences, and Physics.

Supports fundamental materials research and education in the following areas: biomaterials, ceramics, condensed matter physics, electronic and photonic materials, metals and metallic nanostructures, polymers, and solid state and materials chemistry.

Supports individual or small team research projects within the Division of Chemistry's disciplinary research programs.

Supports crosscutting activities in the Division of Materials Research and across NSF that emphasize diversity and inclusion, international collaboration and education. Activities such as institutes, workshops and conferences may be supported.