Home / Research / External Funding Opportunities

External Funding Opportunities

Accepted Anytime

What is Due?: Full Proposal
Maximum award: Unspecified

The National Science Foundation (NSF), through the Directorate for Engineering's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET), and the U.S. Food and Drug Administration (FDA), through its Center for Devices and Radiological Health (CDRH) have established the NSF/FDA Scholar-in-Residence Program at FDA. This program comprises an interagency partnership for the investigation of scientific and engineering issues concerning emerging trends in medical device technology. This partnership is designed to enable investigators in science, engineering, and mathematics to develop research collaborations within the intramural research environment at the FDA. This solicitation features four flexible mechanisms for support of research at the FDA:

  1. Faculty at FDA
  2. Graduate Student Fellowships
  3. Postdoctoral Fellowships
  4. Undergraduate Student Research Experiences

Undergraduate student participants supported with NSF funds must be citizens or permanent residents of the United States.

What is Due?: Full Proposal (December 2, 2015 for Proposals Dealing with Training)
Maximum award: Unspecified

The Infrastructure Program provides support for activities that differ from the research projects supported by the disciplinary programs of the Division of Mathematical Sciences. These include working research sessions, such as conferences, symposia, colloquia, and special years, as well as training programs, such as grants for broadening education in the mathematical sciences or increasing the number of individuals in disciplines that are based in the mathematical sciences.

What is Due?: Full Proposal (Proposals may be submitted at any time during the year for all programs except those involving the allocation of observational and computing facilities.)
Maximum award: Unspecified

The goals of the program are to:

  1. advance knowledge about the processes that force and regulate the atmosphere’s synoptic and planetary circulation, weather and climate.
  2. sustain the pool of human resources required for excellence in synoptic and global atmospheric dynamics and climate research.

Research topics include theoretical, observational and modeling studies of the general circulation of the stratosphere and troposphere; synoptic scale weather phenomena; processes that govern climate; the causes of climate variability and change; methods to predict climate variations; extended weather and climate predictability; development and testing of parameterization of physical processes; numerical methods for use in large-scale weather and climate models; the assembly and analysis of instrumental and/or modeled weather and climate data; data assimilation studies; development and use of climate models to diagnose and simulate climate and its variations and change. Proposed research that spans in substantive ways topics appropriate to programs in other divisions at NSF, e.g., ocean sciences, ecological sciences, hydrological sciences, geography and regional sciences, applied math and statistics, etc., must be submitted at times consistent with target dates or deadlines established by those programs.

What is Due?: Full Proposal
Maximum award: $1,000,000

The Hydrologic Sciences Program focuses on the fluxes of water in the environment that constitute the water cycle as well as the mass and energy transport function of the water cycle. The Program supports the study of processes from rainfall to runoff to infiltration and streamflow; evaporation and transpiration; the flow of water in soils and aquifers; and the transport of suspended, dissolved, and colloidal components. The Hydrologic Sciences Program retains a strong focus on linking fluxes of water and the components carried by water across boundaries between various interacting facets of the terrestrial system and the mechanisms by which these fluxes co-organize over a variety of timescales and/or alter fundamentals of water cycle interactions within the terrestrial system. The Program is also interested in how water interacts with the landscape and the ecosystem as well as how the water cycle and its coupled processes are altered by land use and climate. Studies may address physical, chemical, and biological processes that are coupled directly to water transport. Projects submitted to Hydrologic Sciences commonly involve expertise from basic sciences, engineering and mathematics; and proposals may require joint review with related programs.

What is Due?: White Paper (sponsor deadline required); Proposals (sponsor deadline required)
Maximum award: Unspecified

The Formal Methods Section of the NRL's Center for High Assurance Computer Systems is seeking white papers for innovative research in the mathematics underlying security and high assurance computing. Current and anticipated areas of research focus include the following:

  1. Cryptographic Protocol Design and Analysis - NRL is interested in the analysis of security protocols for security and performance. Design of new protocols, together with their analysis, is also of interest. Analysis techniques may include formal methods, mathematical analysis, simulation, and experimental evaluation.
  2. Information Hiding - NRL is interested in the mathematical, and in particular, information theoretic analysis of covert communication channels, steganography, watermarking, and related areas of information hiding and concealed knowledge. In addition, NRL is interested in the mathematics underlying pragmatic security solutions for possible collaborative research. Appropriate theoretical models from other areas, such as spike trains from the biosciences, are also of current research interest.
  3. Anonymous Communication - NRL is interested in the design and analysis of traffic-security through anonymous and route-trusted communications. Emphasis will be placed on metrics and definitions for traffic security, cryptographic building blocks, network topology and structure, routing protocols, performance, usability, and secure distribution of network information. Techniques can be based on mathematical analysis, simulation or experimentation.
  4. Informatic Phenomena - This area focuses on the mathematical structure of information, both qualitative and quantitative, and uses it to study various issues related to the secure transfer of information. New paradigms on information, such as quantum information, are of particular interest, including their reconciliation with relativistic notions. The primary mathematical techniques employed will be domain theory and other forms of topological algebra.
  5. Mathematical and Logical Analysis of Distributed Systems - NRL is interested in mathematics and logics that are integrated with design methodologies for producing secure distributed systems. Emphasis will be placed on hardware-software codesign, distributed architectures, and programming methodologies. The formal apparatus will include non-standard logics (modal, substructural, et cetera), category theory, domain theory, Shannon information theory, and structures that relate these elements in an elegant and coherent manner.

July 2017

What is Due?: Proposal
Maximum award:

Conferences, workshops, and related events (including seasonal schools and international travel by groups) support research and training activities of the mathematical sciences community. Proposals for conferences, workshops, or conference-like activities may request funding of any amount and for durations of up to three years. Proposals under this solicitation must be submitted to the appropriate DMS programs in accordance with the lead-time requirements specified on the program web page.

June 2018

What is Due?: Proposal
Due date: June 5, 2018
Maximum award:

The long-range goal of the Research Training Groups in the Mathematical Sciences (RTG) program is to strengthen the nation's scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences. The RTG program supports efforts to improve research training by involving undergraduate students, graduate students, postdoctoral associates, and faculty members in structured research groups centered on a common research theme. Research groups supported by RTG must include vertically-integrated activities that span the entire spectrum of educational levels from undergraduates through postdoctoral associates.

July 2018

What is Due?: Proposal
Due date: July 11, 2018
Maximum award:

The long-range goal of the Enriched Doctoral Training in the Mathematical Sciences (EDT) program is to strengthen the nation's scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences and in other professions in which expertise in the mathematical sciences plays an increasingly important role. The EDT program will achieve this by supporting efforts to enrich research training in the mathematical sciences at the doctoral level by preparing Ph.D. students to recognize and find solutions to mathematical challenges arising in other fields and in areas outside today's academic setting. Graduate research training activities supported by EDT will prepare participants for a broader range of mathematical opportunities and career paths than has been traditional in U.S. mathematics doctoral training.

August 2018

What is Due?: Proposal
Due date: August 13, 2018
Maximum award:

New frontiers in cognitive neuroscience research have emerged from investigations that integrate data at different spatial and temporal scales. A wide range of neuroimaging techniques are employed by cognitive neuroscientists for measuring or inferring neural activity, as well as techniques for determining neuroanatomical structure-function relationships (e.g., fMRI, EEG, MEG, TMS). Electrocorticography (ECoG) and experimental interventions in human neural function, including stimulation and manipulation techniques combined with neuroimaging, have advanced the field. Additional recent methodological advances include machine-learning and multivariate analysis methods, resting-state and task-based connectomics and large-scale data analysis used to investigate and infer functional mechanisms, as well as multimodal neuroimaging and model-based approaches, wherein computational cognitive models may directly inform neuroimaging results. The Cognitive Neuroscience Program seeks highly innovative proposals aimed at advancing a rigorous understanding of the neural mechanisms of human cognition. Central research topics for consideration by the program include attention, learning, memory, decision-making, language, social cognition, and emotions. Proposals with animal models are appropriate only if they include a comparative element with human subjects

September 2018

What is Due?: Proposal
Due date: September 5, 2018
Maximum award:

The Mathematical Biology Program supports research in areas of applied and computational mathematics with relevance to the biological sciences. Successful proposals are mathematically innovative and address challenging problems of interest to members of the biological community.

What is Due?: Proposal
Due date: September 12, 2018
Maximum award:

The purpose of the Focused Research Group activity is to support collaborative groups employing innovative methods to solve specific, major research challenges in the mathematical sciences. A major challenge is an outstanding problem of significant importance that requires the focused and synergistic efforts of a collaborative group to solve, and whose solution will have wide impacts in the mathematical sciences and potentially in other areas. Groups may include, in addition to statisticians and mathematicians, researchers from other science and engineering disciplines appropriate for the proposed research. Risky projects are welcome. Interdisciplinary projects are welcome. Projects should be timely, limited in duration to up to three years, and substantial in their scope and impact for the mathematical sciences. Funded projects that show substantial progress in their first two years may be recommended for a creativity extension for up to an additional two years.

What is Due?: Proposal
Due date: September 17, 2018
Maximum award:

The CDS&E-MSS program accepts proposals that confront and embrace the host of mathematical and statistical challenges presented to the scientific and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other. The goal of the program is to promote the creation and development of the next generation of mathematical and statistical theories and tools that will be essential for addressing such issues. To this end, the program will support fundamental research in mathematics and statistics whose primary emphasis will be on meeting the aforementioned computational and data-related challenges. This program is part of the wider Computational and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that seeks to address this emerging discipline.

October 2018

What is Due?: Proposal
Due date: October 1, 2018
Maximum award:

The Chemical Theory, Models and Computational Methods program supports the discovery and development of theoretical and computational methods or models to address a range of chemical challenges, with emphasis on emerging areas of chemical research. Proposals that focus on established theoretical or computational approaches should involve innovative additions or modifications that substantially broaden their applicability. Areas of interest include, but are not limited to, electronic structure, quantum reaction dynamics, statistical mechanics, molecular dynamics, and simulation and modeling techniques for molecular systems and systems in condensed phases. Areas of application span the full range of chemical systems from small molecules to mesoscopic aggregates, including single molecules, biological systems and materials in condensed phases. Despite the diverse application areas, the goal of the program is to support the development of new theoretical and computational methodologies that have the potential of being broadly applicable to a range of challenging chemical problems. We are particularly interested in fundamental areas of chemical research that are difficult or impossible to address using current synthetic, experimental, and/or computational methodologies. We encourage the integration of innovative software development with methodological and algorithmic development, especially computational approaches that allow efficient utilization of the high end computers of the future.

What is Due?: Proposal
Due date: October 2, 2018
Maximum award:

The Combinatorics program supports research on discrete structures and includes algebraic, enumerative, existential, extremal, geometric, and probabilistic combinatorics, including graph theory.

What is Due?: Proposal
Due date: October 2, 2018
Maximum award:

The program in Foundations supports research in mathematical logic and the foundations of mathematics, including proof theory, recursion theory, model theory, set theory, and infinitary combinatorics.

What is Due?: Proposal
Due date: October 2, 2018
Maximum award:

The Analysis Program supports basic research in that area of mathematics whose roots can be traced to the calculus of Newton and Leibniz. Given its centuries-old ties to physics, analysis has influenced developments from Newton’s mechanics to quantum mechanics and from Fourier’s study of heat conduction to Maxwell’s equations of electromagnetism to Witten’s theory of supersymmetry. More generally, research supported by Analysis provides the theoretical underpinning for the majority of applications of the mathematical sciences to other scientific disciplines. Current areas of significant activity include: nonlinear partial differential equations; dynamical systems and ergodic theory; real, complex and harmonic analysis; operator theory and algebras of operators on Hilbert space; mathematical physics; and representation theory of Lie groups/algebras. Emerging areas include random matrix theory and its ties to classical analysis, number theory, quantum mechanics, and coding theory; and development of noncommutative geometry with its applications to modeling physical phenomena. It should be stressed, however, that the underlying role of the Analysis Program is to provide support for research in mathematics at the most fundamental level. Although this is often done with the expectation that the research will generate a payoff in applications at some point down the road, the principal mission of the Program is to tend and replenish an important reservoir of mathematical knowledge, maintaining it as a dependable resource to be drawn upon by engineers, life and physical scientists, and other mathematical scientists, as need arises.

Pages