Funding Resources

This is a non-exhaustive list of external and internal funding opportunities for the computational science community.

Please also see the MICDE Fellowships page.

For: Faculty
Deadline: Rolling

The objective of the Environmental Engineering program at NSF is to support research on the prevention, minimization, mitigation, and/or remediation of environmental pollution to protect human and ecological health. To achieve this objective, the program has long funded research projects on the environmental fate, transport, mitigation, and remediation of contaminants of emerging national interest by researchers across the United States.

For: Faculty
Deadline: Rolling

The CMMT (Condensed Matter and Materials Theory) program supports theoretical and computational materials research in various areas, including condensed matter physics, biomaterials, ceramics, electronic and photonic materials, metals and metallic nanostructures, polymers, and solid-state and materials chemistry. The program focuses on advancing conceptual understanding of materials and related phenomena, developing analytical and computational techniques, and applying predictive materials-specific theory, simulation, and modeling. Methods such as electronic structure calculations, quantum field theories, statistical mechanics, and molecular dynamics are employed in the research. The program encourages the exploration of new paradigms in materials research, including data-centric approaches utilizing data analytics and machine learning. The research spans multiple length scales and may involve workstations or high-performance computing. The emphasis is on obtaining fundamental insights into material properties, predicting new materials and states of matter, and exploring new phenomena. Recent areas of interest include correlated electron systems, topological phases, low-dimensional materials, nonequilibrium phenomena, nanostructured materials, sustainable materials, and research at the interfaces of materials with biological systems. CMMT welcomes transformative submissions at the forefront of theoretical, computational, and data-intensive materials research, including understanding emergent properties, developing predictive models, exploring new paradigms, fostering interdisciplinary research, harnessing machine learning, and developing new theoretical frameworks. Projects involving significant cyberinfrastructure development should be submitted through the Computational and Data-Enabled Science and Engineering (CDS&E) program.

For: Faculty
Deadline: Rolling

The FRR (Foundational Research in Robotics) program, jointly led by the CISE and ENG Directorates, supports research on robotic systems with high computational capability and physical complexity. A robot is defined as an engineered construct with intelligence, capable of processing information, sensing, planning, and interacting with its environment. The program welcomes research that integrates questions of intelligence, computation, and embodiment. Proposals should focus on foundational advances in robotics, addressing fundamental gaps in the field and aiming to endow robots with new or enhanced capabilities. Experimental validation on a physical platform is encouraged. Projects not directly contributing to the science of robotics or better suited for other NSF programs should not be submitted to FRR. Potential investigators are advised to consult with an FRR Program Officer before submission. Non-compliant proposals may be returned without review.

For: Faculty
Deadline: Rolling

The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.

For: Faculty
Deadline: Rolling

The Tectonics Program supports a broad range of field, laboratory, computational, and theoretical investigations aimed at understanding the deformation of the terrestrial continental lithosphere (i.e. above the lithosphere-asthenosphere boundary). The Program focuses on deformation processes and their tectonic drivers that operate at any depth within the continental lithosphere, on time-scales of decades/centuries (e.g. active tectonics) and longer, and at micro- to plate boundary/orogenic belt length-scales.

For: Faculty
Deadline: Rolling

The Mathematical Biology Program supports research in areas of applied and computational mathematics with relevance to the biological sciences. Successful proposals must demonstrate mathematical innovation, biological relevance and significance, and strong integration between mathematics and biology.

Some projects of interest to the Mathematical Biology Program may include development of mathematical concepts and tools traditionally seen in other disciplinary programs within the Division of Mathematical Sciences, e.g., topology, probability, statistics, computational mathematics, etc. In general, if a proposal is appropriate for review by more than one NSF program, it is advisable to contact the program officers handling each program to determine when and where the proposal should be submitted and to facilitate the review process.

The Mathematical Biology Program regularly seeks joint reviews of proposals with programs in the Directorates of Biological Sciences and Engineering. Investigators are encouraged to discuss their project with program officers in relevant areas to determine if it should be considered by more than one program.

For: Faculty
Deadline: Rolling

The GLD Program supports innovative fundamental research into processes that shape and modify earth’s landscapes over a variety of length and time scales, with a focus on the Holocene. The program encourages research that quantitatively investigates the coupling and feedback among such processes, their rates, and their relative roles, especially in the contexts of variation in biologic, climatic, and tectonic influences and in light of changes due to human impacts. Such research may involve fieldwork, modeling, experimentation, theoretical development, or combinations thereof. GLD is particularly interested in increasing the participation of underrepresented groups in research and education such as women, persons with disabilities, and underrepresented minorities [1] , and those from geographically underrepresented areas in science, technology, engineering, and mathematics (STEM). Proposals submitted in response to this solicitation are strongly encouraged to involve PIs, co-PIs, postdoctoral researchers, students, and other personnel who are members of these groups. Proposers are also strongly encouraged to consider involving veterans of the U.S. Armed Forces as part of NSF’s broader effort to promote veteran involvement in STEM research and education.

For: Faculty
Deadline: Rolling

The Petrology and Geochemistry Program supports basic research on the formation of planet Earth, including its accretion, early differentiation, and subsequent petrologic and geochemical modification via igneous and metamorphic processes. Proposals in this program generally address the petrology and high-temperature geochemistry of igneous and metamorphic rocks and minerals (including mantle samples), mineral physics, economic geology, and volcanology. Proposals that are focused on the development of analytical tools, theoretical and computational models, and experimental techniques for applications by the igneous and metamorphic petrology, and high temperature geochemistry and geochronology communities are also invited. The program supports a wide range of Broader Impacts activities, including (but not limited to) infrastructure enhancement, partnerships with industry, and evidence-based practices that recruit and specifically retain individuals who historically have not been included in the geosciences.

For: Faculty
Deadline: Rolling

The DCSD (Dynamics, Control and Systems Diagnostics) program promotes fundamental research in dynamic systems to address pressing societal challenges such as climate change, epidemics, infrastructure resilience, and more. The program seeks innovative proposals that combine research in dynamic systems with real-world applications. It encourages advancements in modeling, analysis, diagnostics, control, and integration of dynamic systems. Proposals should demonstrate both intellectual merit and broader impacts, outlining how the research contributes to knowledge and benefits society. The program emphasizes access, inclusivity, and evidence-based activities. Principal investigators are encouraged to submit a one-page draft Project Summary for feedback and consult with the DCSD Program Officers. The program encourages appropriate budget requests based on project scope and justification.

For: Faculty
Deadline: Rolling

The Energy, Power, Control, and Networks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN’s goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior.