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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 17, 2018 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.

September 2018

What is Due?: Proposal
Due date: September 25, 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: September 25, 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: September 25, 2018
Maximum award:

The Probability Program supports research on the theory and applications of probability. Subfields include discrete probability, stochastic processes, limit theory, interacting particle systems, stochastic differential and partial differential equations, and Markov processes. Research in probability which involves applications to other areas of science and engineering is especially encouraged.

October 2018

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.

What is Due?: Letter of Intent
Due date: October 3, 2018
Maximum award:

The aim of the Simons Collaborations in MPS program is to stimulate progress on fundamental scientific questions of major importance in mathematics, theoretical physics and theoretical computer science.

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

The Algebra and Number Theory program supports research in algebra, algebraic and arithmetic geometry, number theory, and representation theory.

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

The purpose of the Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) is to support future leaders in mathematics and statistics by facilitating their participation in postdoctoral research environments that will have maximal impact on their future scientific development. There are two options for awardees: Research Fellowship and Research Instructorship. Awards will support research in areas of mathematics and statistics, including applications to other disciplines.

November 2018

What is Due?: Full Proposal
Due date: November 6, 2018
Maximum award:

The program in Geometric Analysis supports research on differential geometry and its relation to partial differential equations and variational principles; aspects of global analysis, including the differential geometry of complex manifolds and geometric Lie group theory; geometric methods in modern mathematical physics; and geometry of convex sets, integral geometry, and related geometric topics.

What is Due?: Proposal
Due date: November 7, 2018
Maximum award:

The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects.

What is Due?: Full proposal
Due date: November 15, 2018
Maximum award:

The Applied Mathematics program supports mathematics research motivated by or having an effect on problems arising in science and engineering. Mathematical merit and novelty, as well as breadth and quality of impact on applications, are important factors. Proposals to develop critical mathematical techniques from individual investigators as well as from interdisciplinary teams are encouraged.

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