πŸ›‘οΈ Defence Grants Aggregator
National Β· US

U.S. National Science Foundation (NSF)

NSF

NSF grants for fundamental research in computer science, AI, cybersecurity, engineering, and emerging technologies with dual-use potential.

Calls (30)

NSF

Chemical Process Systems (CPS)

PD-26-367Y
open

Society relies on chemical processes to turn raw materials into useful products. The Chemical Process Systems (CPS) program invests in fundamental research on chemical and biochemical processes to make them more efficient, sustainable, and resilient. New CPS technologies for manufacturing, biotechnology, critical minerals, energy, food, and other national priorities will help make the U.S. more competitive and secure. Research supported by the CPS program covers the full breadth of chemical and biochemical process innovation. It spans reaction engineering and molecular thermodynamics; reactor design; catalysis; electrochemical systems; separations; and process design. The program encourages proposals that connect the molecular scale to process and plant scales. The CPS program explores active-site structure and function, reaction mechanisms, in situ and operando characterization, durability, and device-level integration. Microreactors, membrane and catalytic reactors, atmospheric plasmas, and other novel configurations are of interest. The program supports research in catalysis and electrochemical systems to produce, use, and store energy, to reduce waste, to process polymers, and to synthesize fuels and chemicals. This includes process and materials innovation to support the nuclear fuel cycle. The CPS program also targets chemical and biological separations that are efficient and scalable. Research includes the design of membranes, sorbents, and specialized interfaces. Advances can be used in gas separations, the recovery of critical minerals, bioprocessing, and protein and water purification. The program supports research in process design and optimization that uses tools such as artificial intelligence, machine learning, and uncertainty quantification. CPS research also explores quantum information science and engineering; quantum simulation and sensing, for example, may accelerate the discovery of materials and improve process models. Partnerships: To spe

πŸ€– AI / Machine LearningπŸ”© Materials & ComponentsπŸ₯ Medical / CBRN⚑ Energy🎯 Simulation & TrainingπŸ’‘ Innovation / R&D
Deadline: β€”
Max funding: β€”
NSF

Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing)

24-554
open

The Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing) 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. *Who May Submit Proposals: Proposals may only be submitted by the following: -null -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. *Who May Serve as PI: As of the date the proposal is submitted, any PI, co-PI, or senior/key personnel must hold either: · a tenured or tenure-track position, or · a primary, full-time, paid appointment in a research or teaching position at a US-based campus of an organization eligible to submit to this solicitation (see above), with exceptions granted for family or medical leave, as determined by the submitting organization. Individuals with prim

πŸ€– AI / Machine LearningπŸ₯ Medical / CBRNπŸŽ“ Education / Training
Deadline: β€”
Max funding: $1,200,000
NSF

Materials Innovation Platforms (MIP)

25-521
open

Materials Innovation Platforms (MIP) is a mid-scale infrastructure program in the Division of Materials Research (DMR) designed to accelerate advances in materials research. MIPs respond to the increasing complexity of materials research that requires close collaboration of interdisciplinary and transdisciplinary teams and access to cutting edge tools. These tools in a user facility benefit both a user program and in-house research, which focus on addressing grand challenges of fundamental science and meet national needs. MIPs embrace the paradigm set forth by the Materials Genome Initiative (MGI), which strives to “discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost,” and conduct research through iterative “closed-loop” efforts among the areas of materials synthesis/processing, materials characterization, and theory/modeling/simulation. In addition, they are expected to engage the emerging field of data science in materials research. Each MIP is a scientific ecosystem, which includes in-house research scientists, external users and other scientists who, collectively, form a community of practitioners and share tools, codes, samples, data and know-how. The knowledge sharing is designed to strengthen collaborations among scientists and enable them to work in new ways, fostering new modalities of research and training, for the purpose of accelerating discovery and development of new materials and novel materials phenomena/properties, as well as fostering their eventual deployment. The scientific focus of the MIP program is subject to change from competition to competition. Information about the existing MIPs, from two previous competitions in 2015 and 2019, can be found at mip.org. The third MIP competition, in 2025, will accept proposals on alloys, amorphous, and composite materials. Given that the second MIP competition included an emphasis on biomaterials and polymer research, proposals mainly on th

πŸ”© Materials & Components🎯 Simulation & TrainingπŸ’‘ Innovation / R&D
Deadline: β€”
Max funding: $30,000,000
NSF

Quantum Leap Challenge Institutes (QLCI)

24-599
open

Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects motivated by major challenges at the frontiers of quantum information science and technology (QIST). Institutes are expected to catalyze breakthroughs on important problems underpinning QIST, for example in the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. Successful institutes will coordinate a variety of approaches to specific scientific, technological, and educational goals in these fields, including multiple institutions and building upon multiple disciplines, as motivated by the science and engineering challenges. In so doing, Institutes will nurture a culture of discovery, provide education, training, and workforce development opportunities in the context of cutting-edge research, and demonstrate value-added from synergistic coordination within the institute and with the broader community. Partnerships, infrastructure, industry engagement, outreach, international collaboration, and new applications for QIST should be fostered by Institutes in support of their research, education, and coordination goals. The QLCI program can support awards to continue existing Quantum Leap Challenge Institutes or to establish and operate new Quantum Leap Challenge Institutes. In either case, proposers should follow the same guidance for Challenge Institute proposal preparation described in this solicitation. While this is a crosscutting program, proposals responding to this solicitation must be submitted to the Office of Strategic Initiatives (OSI) in the Directorate of Mathematical and Physical Sciences (MPS). They will subsequently be managed by a cross-disciplinary team of NSF Program Directors. The QLCI program enables NSF multidisciplinary centers for quantum research and education as called for in the National Quantum Initiative (NQI) Act1 and an NQI Advisory Committee report, Renewing the National Quantum Initiative: Recommendati

πŸ”© Materials & ComponentsπŸ“» C4ISR / Command & Control🎯 Simulation & TrainingπŸŽ“ Education / Training
Deadline: β€”
Max funding: $45,000,000
NSF

Strengthening American Infrastructure (SAI)

25-534
open

Strengthening American Infrastructure (SAI) is an NSF program seeking to stimulate human-centered, use-inspired, fundamental and potentially transformative research aimed at strengthening America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad improvement in quality of life. Robust, reliable and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security and fuels American leadership. Achieving these objectives requires the integration of expertise from across all science and engineering disciplines. SAI focuses on how fundamental knowledge about human reasoning and decision-making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering. Successful projects will represent a convergence of expertise in one or more social, behavioral or economic sciences, deeply integrated with other disciplines to support substantial and potentially pathbreaking fundamental research applied to strengthening a specific focal infrastructure. General inquiries regarding this funding opportunity should be sent to NSF-SAI@nsf.gov. *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and

πŸ’‘ Innovation / R&DπŸ”’ Security (general)πŸ›οΈ Government / Public SectorπŸŽ“ Education / Training
Deadline: β€”
Max funding: $750,000
NSF

Foundations for Operating the National Artificial Intelligence Research Resource: the NAIRR Operations Center (NAIRR-OC)

25-546
open

The National Artificial Intelligence Research Resource (NAIRR) Pilot is a pioneering public-private initiative to catalyze a competitive national artificial intelligence (AI) ecosystem for discovery and innovation by connecting U.S. researchers and educators to the most advanced public and private-sector computational and data platforms, datasets, software, AI models, and technological expertise necessary to accelerate AI-driven discovery and innovation. Beginning in January 2024, U.S. National Science Foundation (NSF) – together with 14 other federal agencies and 28 private sector partners – established the NAIRR Pilot, which has immediately advanced innovative AI and science research and accelerated AI workforce training and education. As recommended by America's AI Action Plan, the NAIRR Operations Center (NAIRR-OC) will serve as a lean and sustainable operations capability and be the focal point for operational transition from the current Pilot towards a sustainable long-term NAIRR. This solicitation seeks proposals to establish a community-based organization that will be responsible for the foundational visioning, coordination, operations, and development activities in support of an integrated national infrastructure for AI research and education. The resulting award would advance the National Artificial Intelligence Research Resource (NAIRR) vision for a public-private partnership to accelerate AI innovation and national competitiveness. This NAIRR Operations Center (NAIRR-OC) will be responsible for the following overarching goals and responsibilities: Organizational leadership: Establishing the operational framework, organizational management, and success metrics for the NAIRR and its successful operations according to the vision, goals, and requirements established by the NSF and other federal partners. Building NAIRR capabilities and community: Undertaking specific development activities in support of NAIRR stakeholders, including interfacing with partne

πŸ€– AI / Machine Learning🎯 Simulation & TrainingπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: β€”
Max funding: $35,000,000
NSF

Science and Technology Centers: Integrative Partnerships

24-594
open

The Science and Technology Centers (STC): Integrative Partnerships program supports exceptionally innovative, complex research and education projects that require large-scale, long-term awards. STCs focus on creating new scientific paradigms, establishing entirely new scientific disciplines, and developing transformative technologies which have the potential for broad scientific or societal impact. STCs conduct world-class research through partnerships among institutions of higher education, national laboratories, industrial organizations, other public or private entities, and via international collaborations, as appropriate. They provide a means to undertake potentially groundbreaking investigations at the interfaces of disciplines and/or highly innovative approaches within disciplines. STCs may involve any area of science and engineering that NSF supports. STC investments support the NSF vision of creating and exploiting new concepts in science and engineering and providing global leadership in research and education. Centers provide a rich environment for encouraging scientists, engineers, and educators to take risks in pursuing discoveries and new knowledge. STCs foster excellence in education by integrating education and research, and by creating connections between learning and inquiry so that discovery and creativity fully support the learning process. NSF encourages input and participation in the STC program from the full spectrum of diverse talent that society has to offer which includes underrepresented and underserved communities. In addition, NSF expects STCs to both involve individuals who are members of groups that have been traditionally underrepresented in science, engineering and mathematics at all levels within the Center (faculty, staff, students, and postdoctoral researchers) as well as be a leader in broadening participation in STEM. Centers may use either proven or innovative mechanisms based on the relevant literature to address matters su

πŸŽ“ Education / Training
Deadline: β€”
Max funding: $6,000,000
NSF

OCE Education

PD-05-1690
open

OCE Education supports efforts to integrate ocean research and education via two main program areas, which are: 1) Research Experiences for Undergraduates (REU) Site Program. This program provides funding to Universities and Marine Laboratories that allows them to offer summer internships to undergraduate students who would like to participate in ocean-related research efforts. Proposals may be submitted annually (August deadline). 2) Faculty Early Career Development (CAREER). This program supports pre-tenure researchers who would like to combine their research efforts with excellent educational programs. Proposals may be submitted annually (July deadline). The Ocean Education program is the point of contact for anyone interested in submitting Ocean Technical Education, Research Experiences for Teachers (RET), Geoscience Veterans Education and Training Supplements (GEO-VETS), and Research Experiences for Undergraduate (REU) supplement requests. RET, GEO-VET, and REU supplements are funded through the OCE science programs and have no application deadlines.

🎯 Simulation & TrainingπŸŽ“ Education / Training
Deadline: β€”
Max funding: β€”
NSF

Data Science Corps (DSC)

24-560
open

The objective of the Data Science Corps program is to help build a strong national data science infrastructure and workforce. The Data Science Corps program seeks to engage data science students in real-world data science implementation projects. This engagement will help bridge the data-to-knowledge gap in organizations and communities at all levels, including local, state, and national, and will empower better use of data for more effective decision making. Data Science Corps participants will be able to sharpen their skills in data science by working on real-world projects focused on specific community needs, including rural communities, urban communities, academia, industry, or government. This partnership between communities and data scientists will serve the nation by helping produce a workforce-ready cohort of data scientists and technologists, who have experience with data science in action in real-world settings. The program welcomes proposals that seek to broaden participation in science, technology, engineering and mathematics (STEM) and STEM education. This solicitation prompts the community to respond to one or more mechanisms by which to provide students with data science education and training, including in data science issues related to knowledge representation and creation and use of knowledge graphs. The solicitation supports opportunities for undergraduates (including students from community colleges, Minority Serving Institutions, other emerging research institutions as defined in the CHIPS and Science Act, https://www.congress.gov/bill/117th-congress/house-bill/4346, and institutions in EPSCoR jurisdictions), and grade 6-12 teachers and students. When responding to this solicitation, even though proposals must be submitted through the Directorate for STEM Education, Division of Research on Learning in Formal and Informal Settings (EDU/DRL), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors Thi

🎯 Simulation & TrainingπŸ›οΈ Government / Public SectorπŸŽ“ Education / Training
Deadline: β€”
Max funding: $1,200,000
NSF

Discovery Research PreK-12 Program Resource Center on Transformative Education Research and Translation (DRK-12 RC)

24-602
open

This solicitation seeks proposals for the Discovery Research PreK-12 program’s Resource Center (DRK-12 RC) on Transformative Education Research and Translation. The DRK-12 RC will be an intellectual partner as NSF seeks to enhance the overall influence and reach of the DRK-12 Program’s research and development investments. In this partner role, the DRK-12 RC will support and recruit diverse, multi-sector constituencies with the goal of achieving the field-, knowledge-, and partnership-building aims of the DRK-12 program. Further, it is expected that the Resource Center on Transformative Education Research and Translation will play a central role in helping the DRK-12 Program to: (1) identify and share promising resources, tools, approaches, and research findings with teachers, school leaders and administrators and policymakers for feedback, strategic use and the advancement of science; (2) facilitate communication and collaboration among current, former, and prospective DRK-12 award recipients as a means of building STEM education researchers’ capacity to conduct rigorous and meaningful work across the full range of project types supported by the program; and (3) further raise the national visibility of the DRK-12 program's goals and impacts. The DRK-12 RC is expected to work collaboratively with NSF and the DRK-12 Program’s constituent communitiesβ€”including other NSF resource hubs and centersβ€”to design, implement, and evaluate these three broad activities. *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educat

πŸ“» C4ISR / Command & ControlπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: β€”
Max funding: $5,000,000
NSF

Hispanic-Serving Institutions: Enriching Learning, Programs, and Student Experiences (HSI:ELPSE)

24-551
open

Hispanic Serving Institutions (HSIs) are an important component of the nation’s higher education ecosystem and play a critical role in realizing the National Science Board’s vision for a more diverse and capable science and engineering workforce1,2. Aligned with this vision and the NSF Strategic Plan3, the goals of the NSF HSI Program are to: Enhance the quality of undergraduate science, technology, engineering, and mathematics (STEM) education at HSIs. Increase the recruitment, retention, and graduation rates of students pursuing associate’s or baccalaureate degrees in STEM at HSIs. Meeting these goals requires institutions to understand and embrace their students’ strengths, challenges, and lived experiences. While this can happen in many ways and across many parts of an institution, the Hispanic Serving Institutions: Enriching Learning, Programs, and Student Experiences (HSI:ELPSE) solicitation is specifically focused on studying and improving the student experience in the following settings: STEM courses, particularly for students pursuing STEM degrees; Certificate, minor, and/or degree programs; Academic departments or divisions; and Schools and colleges that represent a part of the entire institution (e.g., a School of Engineering or a College of Natural Sciences). Institutions are encouraged to consider how their mission and designation as an HSI could reimagine and/or strengthen courses, degree programs, departments, or divisions. The HSI:ELPSE solicitation welcomes projects that look to implement, test and refine promising practices and/or conduct research related to broadening participation or improving recruitment, retention, graduation and other positive outcomes for undergraduates in STEM. The HSI:ELPSE solicitation supports projects that are purposefully designed to meet students where they are, accounting for both their assets and the challenges they may face. Identities and experiences are not determi

πŸŽ“ Education / Training
Deadline: β€”
Max funding: $1,000,000
NSF

Engineering Biological and Biomedical Systems (EBBS)

PD-26-369Y
open

The Engineering Biological and Biomedical Systems (EBBS) program expands our understanding of biological and physiological systems, and it helps improve human health. For U.S. leadership in biotechnology, the engineering of biology is required at every scale. Engineering is needed for sensing biomarkers to making proteins to restoring functions of the body. In EBBS, fundamental mechanistic insights are combined with experimental and computational techniques. This approach helps develop platforms, devices, organisms, tissues, and processes that bring new understanding and control of biological functions. EBBS supports studies of mechanisms that drive the behavior of microbial populations and cells, and of therapeutic cells and tissues. This includes discovering the underlying engineering principles that are needed to capture the responses of biological systems and bioreactors. It also includes the creation of novel biosensing platforms and new optical imaging and modulation strategies. Research that enables the design of biological systems to sense and respond to novel stimuli is welcome. Similarly, projects leading to insight into tissue changes or injury, and to systems that imitate or restore the functions of tissues or organs are encouraged. Projects that advance rehabilitation engineering through new theories and approaches are supported by the EBBS program. Fundamental engineering research driven by the needs of persons with disabilities is encouraged. The EBBS program expands what is possible in biomanufacturing; research may advance biotechnology and/or health. EBBS research must enable improved biological processes, create novel biomedical technologies, or achieve new understanding of physiological or pathological processes. EBBS does not support proposals with a main goal of drug design, drug delivery, or theβ€―development of animal models of disease. Using existing models for experimental testing and validation is acceptable.β€―Projects that focus on testi

πŸ₯ Medical / CBRN
Deadline: β€”
Max funding: β€”
NSF

NSF Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II, Fast-Track Programs: A Pilot Emphasis on Scientific Instrumentation

26-511
open

NSF invests in scientific discoveries, technological breakthroughs, and transformative innovations that strengthen economic growth, enhance security, and improve the lives of Americans and people around the world. Our ability to support that mission requires a robust scientific and engineering (S&E) enterprise in the United States that allows scientists to innovate at the frontier. In addition to funding scientists, America needs next-generation scientific instrumentation that allows scientists to pursue new innovations. In many fields, it is critical that this new scientific instrumentation is developed in the United States. In support of this mission, NSF is initiating a pilot emphasis area for its SBIR/STTR programs to invest in startups and small businesses that are specifically developing enabling technologies that include next-generation instrumentation, novel experimental platforms, and other scientific equipment to advance the frontiers of scientific discovery and strengthen the American scientific and engineering enterprise. This encompasses novel instrumentation necessary for the coming era of AI-driven discoveries. This pilot will prioritize investing in the necessary infrastructure to support entirely new fields of scientific discovery, making new technological breakthroughs and transformative applications possible. Through this approach, NSF will continue to lead in propelling the scientific enterprise to new frontiers. This pilot emphasis area for the NSF SBIR/STTR programs funds across enabling technology areas and market sectors in alignment with the above goals; the programs do not solicit specific technologies for the purpose of procuring goods and services for the agency from startups and small businesses. NSF will continue to invest in other deep-tech ventures through the historic NSF SBIR/STTR programs available here. Funding opportunities are available through the NSF SBIR/STTR programs: Phase I, Phase II, Fast-Track, and Supplements. Each

πŸ€– AI / Machine LearningπŸ’‘ Innovation / R&DπŸ”’ Security (general)
Deadline: 04 Nov 2026
Max funding: $40,000,000
NSF

U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:

26-513
open

The NSF State and Regional AI Infrastructure Hubs program aims to expand access to the compute required for AI-enabled scientific discovery and to transform the research, education, and training opportunities offered by institutions of higher education. AI Infrastructure Hubs will connect researchers to new compute infrastructure that leverages contributions from state governments, research institutions, industry, and philanthropy, accelerating AI-enabled discovery across science and engineering and developing a skilled technical workforce for AI use in the scientific enterprise. The program responds to a core tenet of Science: A New Golden Age to renew America’s research and development (R&D) for changes in today’s scientific enterprise, including the role of AI in laying the foundation for a new era of scientific discovery and the growing role of industry and philanthropy in funding R&D. In response, the Administration’s FY28 R&D Priorities Memorandum called for investing in AI for science as a national mission and expanding the scale of, and flexible access to, advanced compute and data infrastructure that researchers now require for frontier scientific discovery. Each AI Infrastructure Hub will be organized as a flexible state or regional consortium of state and local governments, research institutions, philanthropies, and the private sector. Consortia will be responsible for all funding for new or expanded computing, data, and AI resources, whether on-premises or cloud-based. NSF will fund each Hub’s consortium coordination, AI infrastructure workforce development, and faculty training and coursework development in leveraging AI for science. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with education

πŸ€– AI / Machine Learning🎯 Simulation & TrainingπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: 04 Nov 2026
Max funding: $100,000,000
NSF

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

26-512
open

This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis. The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed. Proposals are encouraged to leverage existing resources. These may include NSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, the Genesis Mission platform, or other national infrastructure. NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets. Expanding Participation in STEM, NSF Priorities, and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission. Proposers should review the list of NSF priorities and are encou

πŸ€– AI / Machine LearningπŸ’‘ Innovation / R&DπŸ”’ Security (general)πŸ›οΈ Government / Public SectorπŸŽ“ Education / Training
Deadline: 04 Nov 2026
Max funding: $100,000,000
NSF

PFE: Research Initiation in Engineering Formation (PFE: RIEF)

20-558
open

The PFE: Research Initiation in Engineering Formation (PFE: RIEF) program has two goals: 1) Support research in the Professional Formation of Engineers (PFE), and 2) Increase the community of researchers conducting PFE research. PIs are expected to have little or no experience conducting social science or education research. PFE: RIEF is not intended for established researchers in engineering education or other social science fields to initiate new projects. Those researchers should consider the Research in the Formation of Engineers program (https://www.nsf.gov/funding/opportunities/rfe-research-formation-engineers). The NSF Engineering (ENG) Directorate has launched a multi-year initiative, the Professional Formation of Engineers, to create and support an innovative and inclusive engineering profession for the 21st Century. Professional Formation of Engineers (PFE) refers to the formal and informal education and value systems by which people become engineers. It also includes the ethical responsibility of practicing engineers to sustain and grow the profession. The engineering profession must be responsive to national priorities, grand challenges, and dynamic workforce needs; it must be equally open and accessible to all Americans. Engineering faculty possess both deep technical expertise in their engineering discipline and the primary responsibility for the process of professional formation of future engineers. As such, engineering faculty are in a unique position to help address critical challenges in engineering formation. The Professional Formation of Engineers: Research Initiation in Engineering Formation (PFE: RIEF) program enables engineering faculty who are renowned for teaching, mentoring, or leading educational reform efforts on their campus to develop expertise in conducting engineering education research. *Who May Serve as PI: The PFE: RIEF program is designed to expand the community of engineering faculty equipped to conduct research in profe

πŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: 10 Nov 2026
Max funding: $3,000,000
NSF

MPS Astronomical Sciences Research Programs (MPS Astro)

26-522
open

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs in the astronomical sciences. NSF MPS funds foundational astronomical sciences research and instrumentation focused on exploring space and advancing fundamental understanding of the universe. The programs covered by this funding opportunity are: Astronomical Sciences Core Research Astronomical Sciences Technology & Instrumentation Astronomical Sciences Innovations Research supported by these programs is essential for ongoing discovery in a range of fields. The programs provide a strong scientific foundation for America's capabilities in multiple areas: predicting solar storms, discovering potentially habitable planets in other solar systems, understanding the physical workings of extreme astrophysical objects like black holes, and more. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

πŸ›Έ Space
Deadline: 16 Nov 2026
Max funding: $100,000,000
NSF

IUSE: Innovation in Two-Year College STEM Education (ITYC)

23-584
open

The National Science Foundation (NSF) plays a prominent role in the improvement of undergraduate STEM education at the Nation’s colleges and universities. Through the IUSE: Innovation in Two-Year College STEM Education (ITYC) program, the agency seeks to extend this effort by making an intentional investment in the country’s two-year institutions of higher education, or two-year colleges. The twin goals of the ITYC program are to (1) center students in the effort to advance innovation and promote success in STEM education at two-year colleges, and (2) enhance the capacity of two-year colleges to harness the talent and potential of their student and faculty populations through innovative disciplinary, multi-department, and college-wide efforts. These goals will be achieved by investing in projects at two-year colleges that contribute to student success in STEM-based foundational courses and academic pathways for both majors and non-majors. Project activities may be in any discipline that is currently supported by NSF funding, which includes the social, behavioral, and economic sciences. Collectively, projects in the ITYC program will make progress towards ensuring that two-year college students and faculty have the resources to participate in and contribute to the broader STEM enterprise. Aligned with the goals above, the ITYC program features two tracks: (1) A Focus on the Academic Experiences of Two-Year College Students and (2) Leveraging Two-Year College Strengths and Innovation. Each Track can support projects requesting up to $500,000 for a duration of up to three years. For institutions that have not received NSF funding in the past five years, an additional $100,000 may be added to the budget which may be used by the institution to support and carry out grant-funded activities over four years. This would result in a total maximum budget of $600,000 for a project over four years. Institutions that have been funded as part of a collaborative

πŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: 09 Dec 2026
Max funding: $10,000,000
NSF

EMERGING FRONTIERS IN RESEARCH AND INNOVATION (EFRI-2026/27): Wave-Based Computing ( EFRI-WBC)

26-524
open

The Emerging Frontiers in Research and Innovation (EFRI) program serves a critical role in helping the NSF Directorate for Engineering focus on important emerging areas in a timely way. The EFRI program invests in potentially transformative ideas that offer the opportunity for significant shifts in foundational engineering knowledge. EFRI-funded research must have strong potential for long-term impact on strategic technology priorities and/or national science and technology (S&T) missions identified in the Administration's Fiscal Year (FY) 2028 Research and Development (R&D) Budget Priorities Memorandum. Such impacts need not be fully realized within the duration of the research period; however, proposers are expected to articulate how a proposal is use-inspired and may lay the foundations for stated priorities. This EFRI solicitation leverages a portfolio of both two-year EArly-concept Grants for Exploratory Research (EAGER) awards and larger four-year awards in response to Science: A New Golden Age, which calls for a more flexible set of funding mechanisms that match the scientific challenges they seek to address. The EFRI Wave-Based Computing (WBC) solicitation will support foundational and transformative research to advance the development of computing approaches that harness the principles of wave dynamics. The EFRI WBC solicitation will support two tracks. Track 1: Exploratory approaches may be funded through EArly-concept Grants for Exploratory Research (EAGER) awards. Track 2: Larger, multidisciplinary projects may be funded through four-year awards of up to $2,000,000. The EFRI WBC program encourages collaboration with industry. Proposers may consider using a formal mechanism, such as NSF Grant Opportunities for Academic Liaison with Industry (GOALI). *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies

πŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: 11 Feb 2027
Max funding: $30,000,000
NSF

Integrated Data Systems & Services (IDSS)

26-509
open

The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data-intensive and artificial intelligence-driven science and engineering research, innovation, and education. Through this solicitation, the IDSS program is accepting proposals for three categories of projects: Category I. Development, deployment, and operation of novel national-scale integrated data systems and services, which may include interfacing with or leveraging other existing capabilities, systems and services, as appropriate to the project; Category II. β€―Transition of established smaller scale, regional, pilot, or prototype data-focused systems and services to national-scale production/operational quality/level. This may also include enhancement and expansion of existing national-scale data-focused operational systems and services; and Category III. Planning grants for future potential development/deployment or transition/enhancement IDSS projects. NSF and the Office of Advanced Cyberinfrastructure (OAC) have long supported the development of innovative foundational and application-specific cyberinfrastructure resources and systems to address data-intensive research needs at the campus, regional, and community scales, through programs such as Cyberinfrastructure for Sustained Scientific Innovation (CSSI), Campus Cyberinfrastructure (CC*), and other investments. The primary goal of the IDSS program is to support national-scale foundational data cyberinfrastructure that broadly enables data- and artificial intelligence-driven research for many communities. The IDSS program supports foundational transdisciplinary and demonstrably multi-disciplinary projects aimed to broadly impact the science and engineering research and education community. Projects that aim to primarily benefit a single science discipline, domain, project, or application are not supported. It is

πŸ€– AI / Machine LearningπŸ’‘ Innovation / R&DπŸŽ“ Education / Training
Deadline: 27 Jul 2027
Max funding: $30,000,000
NSF

Expeditions in Computing (Expeditions)

26-525
open

The far-reaching impact and rate of innovation in the computer and information science and engineering fields has been remarkable, generating economic prosperity, and enhancing the quality of life for people. More than a decade ago, the NSF Directorate for Computer and Information Science and Engineering (NSF CISE) established the NSF Expeditions program to provide the NSF CISE research community with the opportunity to pursue ambitious, foundational research agendas that promise to define the future of computing and information. Investigators are strongly encouraged to come together within or across departments or institutions to identify compelling, transformative research agendas that look ahead by at least a decade and promise disruptive innovations in computer and information science and engineering for the years ahead. Expeditions may advance a range of areas including, but not limited to, fundamentally new architectures for intelligence and the hardware and compute substrates that make them possible; rigorous physical and mathematical theories of how systems learn, generalize, and can be interpreted; neuroscience-inspired approaches to learning, memory, reasoning, and behavioral steering; intelligence embodied in the physical world through general physical intelligence, advanced robotics hardware, and novel architectures and learning paradigms for embodied systems; transformative approaches to next generation communication and networking; and high-risk, high-reward areas that no single discipline could pursue alone. β€― Now funded at levels up to $15,000,000 over seven years, NSF Expeditions projects represent some of the largest single investments made by the CISE Directorate. These awards are designed to promote the formation of large, multidisciplinary research teams to address transformative foundational computing research problems. This reflects CISE’s recognition that achieving deep and lasting breakthroughs often require advances in multiple fields or su

πŸ“» C4ISR / Command & ControlπŸ’‘ Innovation / R&D
Deadline: 27 Jul 2027
Max funding: $60,000,000
NSF

MPS Physics Research Programs (MPS Physics)

26-523
open

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs at the frontiers of discovery in physics. Physics research supported by NSF MPS enables understanding of the fundamental aspects of nature at all scales, from the quantum effects inside atoms to the mysterious dark energy spanning the entire universe. The core research programs covered by this funding opportunity are: Atomic, Molecular, and Optical Physics - Experiment (AMO-Experiment) Atomic, Molecular, and Optical Physics - Theory (AMO-Theory) Elementary Particle Physics - Experiment (EPP-Experiment) Elementary Particle Physics, Astrophysics and Cosmology - Theory (EPP/Cosmology-Theory) Gravitational Physics Integrative Activities in Physics (IAP) Nuclear Physics - Experiment (NP-Experiment) Nuclear Physics - Theory (NP-Theory) Particle Astrophysics - Experiment (PA-Experiment) Physics of Living Systems (PoLS) Plasma Physics Quantum Information Science (QIS) The cross-cutting research programs covered by this funding opportunity are: Advanced Physics Instrumentation (API) Focused Research Hubs in Theoretical Physics (FRHTP) Physics at the Information Frontier (PIF) NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

πŸ”© Materials & Components⚑ Energy
Deadline: 17 Aug 2076
Max funding: $180,000,000
NSF

MPS Mathematical Sciences Research Programs (MPS MathSci)

26-520
open

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs at the frontiers of discovery in theoretical and applied mathematical sciences. Programs include: Algebra and Number Theory Analysis Applied Mathematics Combinatorics Computational Mathematics Foundations Geometric Analysis Mathematical Biology Probability Statistics Topology Mathematical Sciences Research Infrastructure Mathematical Sciences Focused Research Groups Mathematical Sciences Research Training Groups NSF anticipates a portfolio of awards for these programs with a range of budgets, durations and scopes. Program budgets, number of awards, award sizes and durations are subject to the availability of funds. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tri

🎯 Simulation & TrainingπŸŽ“ Education / Training
Deadline: 17 Aug 2076
Max funding: $200,000,000
NSF

Engineering (ENG): Electrical, Communications, and Computing Systems (ECCS)

26-514
open

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational research for electrical, communications and computing systems through the following programs: The Electronic, Photonic, Magnetic, and Quantum Devices (EPMQD) program supports foundational engineering research on novel classical and quantum devices, exploring matter’s electronic, photonic, and magnetic properties to enable new applications. The Circuits and Systems for Communications and Sensing (CSCS) program supports foundational engineering research on classical and quantum aspects of advanced components, systems, and signal processing for communications and sensing. The Energy, Power, Control, and Learning (EPCL) program supports foundational research on systems and control, learning, optimization, artificial intelligence, and networked multi-agent systems, and their applications, with emphasis on power and energy systems. NSF ENG anticipates a portfolio of ENG: Electrical, Communications, and Computing Systems (ECCS) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

πŸ€– AI / Machine LearningπŸ”© Materials & Components⚑ EnergyπŸ“» C4ISR / Command & Control
Deadline: 19 Aug 2076
Max funding: $110,000,000
NSF

Engineering (ENG): Chemical, Bioengineering, Energy, and Transport Systems (CBET)

26-518
open

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational engineering research for chemical, bioengineering, energy, and transport systems through the following programs:β€― The Chemical Process Systems (CPS) program supports foundational engineering research in chemical and biochemical processes for chemicals, fuels, energy, and materials. The Engineering Biological and Biomedical Systems (EBBS) program supports foundational engineering research on platforms, devices, organisms, tissues, and processes that advance knowledge and control of biological functions. The Energy, Water, and Resource Engineering (EWRE) program supports foundational engineering research to manage energy, water, minerals, and material resources. The Transport Phenomena (TP) program supports foundational engineering research to understand, model, and control the transport of mass, momentum, energy, and species across multiple scales. NSF ENG anticipates a portfolio of ENG: Chemical, Bioengineering, Energy, and Transport Systems (CBET) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

⚑ Energy
Deadline: 19 Aug 2076
Max funding: $100,000,000
NSF

Transport Phenomena (TP)

PD-26-366Y
open

The Transport Phenomena (TP) program supports fundamental research to understand, model, and control the transport of mass, momentum, energy, and species across multiple scales. Innovative TP research supports advances in artificial intelligence; manufacturing; biotechnology; microelectronics; energy generation, extraction, and utilization; nuclear energy; quantum science and engineering; and other national priorities. TP projects involve experiments, theory, and/or computational modeling. They aim to improve understanding and to create novel analytical techniques. While projects focus on fundamental principles, they also have a clear vision of how research outcomes will benefit applications in engineering. TP supports research on the dynamics of single- and multiphase systems. Special interests include flow separation, transition to turbulence, drag reduction, cavitation, instabilities, and reactive flows. The program encourages research on the connection between dynamics at the microscale and material and flow properties at the macroscale. Fluids of interest include liquids, gases, suspensions, emulsions, granular materials, active fluids, biological fluids, colloids, aerosols, bubbles and drops, and fluids with surfactants. TP supports research on physicochemical phenomena at the interfaces between fluids and between fluids and solids. These phenomena include adsorption and desorption of nanoparticles and surfactants; bulk and interfacial rheology; wetting and capillarity phenomena; electrokinetics; flow in porous media; and directed and self-assembly of particles. TP supports research on thermodynamics and thermal transport involving conduction, diffusion, convection, phase transition, and radiation. Research may be across scales, in complex structures and at interfaces, in microelectronic devices, and in biological systems. Projects involving phonon transport and quantum thermal phenomena are welcome. TP encourages proposals focused on combustion of gas, l

πŸ€– AI / Machine LearningπŸ”© Materials & ComponentsπŸ₯ Medical / CBRN⚑ Energy
Deadline: 20 Aug 2076
Max funding: β€”
NSF

MPS Chemistry Research Programs (MPS Chem)

26-519
open

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports foundational research through multiple programs in the chemical sciences. Programs include: Chemical Catalysis Chemical Measurement and Imaging Chemical Mechanism, Function, and Properties Chemical Structure and Dynamics Chemical Synthesis Chemical Systems and Solutions Chemical Theory, Models and Computational Methods Chemistry of Life Processes Macromolecular, Supramolecular, and Nanochemistry NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. Β§

πŸŽ“ Education / Training
Deadline: 20 Aug 2076
Max funding: $150,000,000
NSF

Core Research in Biological Sciences (BIO Core)

26-517
open

The U.S. National Science Foundation's Directorate for Biological Sciences (NSF BIO) Core Research in Biological Sciences (BIO Core) funding opportunity supports foundational and interdisciplinary research projects that expand knowledge of biology at any level of organization, from the molecular to the biome scale. We accept proposals that cover scientific topics associated with legacy programs historically supported by NSF BIO and proposals that explore new areas of biological sciences. BIO Core funds single- and multi-investigator awards. The portfolio of awards is anticipated to include a range of budgets and durations, including exploratory projects of smaller scope and long-horizon projects that benefit from longer-term commitment. BIO Core awards are subject to the availability of funds. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List A

πŸŽ“ Education / Training
Deadline: 21 Aug 2076
Max funding: $280,000,000
NSF

MPS Materials Research Programs (MPS Materials)

26-521
open

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple materials research programs that advance fundamental understanding of materials, their properties, and their potential applications. The programs covered by this solicitation are: Biomaterials Ceramics Condensed Matter and Materials Theory Condensed Matter Physics Electronic and Photonic Materials Metals and Metallic Nanostructures Polymers Solid State and Materials Chemistry Other materials research funding opportunities are covered by separate NSF solicitations, such as the NSF Materials Research Science and Engineering Centers and Designing Materials to Revolutionize and Engineer our Future. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive. *Who May Serve as PI: See "Limit on Number of Proposals per PI or Co-PI" below.

Deadline: 24 Aug 2076
Max funding: $100,000,000
NSF

Engineering (ENG): Civil, Mechanical and Manufacturing Innovation (CMMI)

26-515
open

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational research projects for civil, mechanical, and manufacturing innovation through the following programs: The Advanced Manufacturing, Design, and Operations (AMDO) program supports foundational research on advanced manufacturing, materials and service processes; their integration into facilities, supply chains, and other systems; and the optimal operation and design of these systems. The Engineering for the Built Environment (EBE) program supports foundational research on civil infrastructure and civil infrastructure systems, from materials to network sciences, for prosperous, resilient, and safe communities. The Intelligent and Interactive Dynamic Systems (IIDS) program supports foundational research to advance the science and engineering of intelligent dynamic systems, including engineered systems that interact with people. The Mechanics of Advanced Materials Systems (MAMS) program supports foundational research on deformation and failure in engineered and biological materials. NSF ENG anticipates a portfolio of ENG: Civil, Mechanical, and Manufacturing Innovation (CMMI) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

πŸ”© Materials & ComponentsπŸ›‘οΈ Defence TechnologyπŸ’‘ Innovation / R&D
Deadline: 26 Aug 2076
Max funding: $100,000,000