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The Department of Energy's (DOE) Office of Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications to explore of the suitability of various implementations of quantum computing hardware for science applications. This foundational research will facilitate the development of device architectures well-suited for scientific applications of quantum computing and improve our understanding of the advantages and limitations of various approaches to quantum computing for science applications. The purpose of this FOA is to invite applications for foundational research in the following two areas: 1. Exploring the relationship between device architecture and application performance 2. Developing meaningful metrics for evaluating the suitability of quantum computing hardware for science applications Applications may address one or both of these themes. Proposed research should focus on devices that are already available or that become available during the term of the award rather than large-scale, high-fidelity, fault-tolerant machines. Funded teams will be expected to collaborate externally with researchers working to develop applications and algorithms that can expand the frontiers of scientific discovery. Funded teams will also be expected to participate in community engagement activities that support the growth of an active, integrated research community committed to the common goal of developing quantum computing resources for advancing scientific discovery. Topics that are out of scope include: development and optimization of quantum algorithms; development of new candidate qubit systems; schemes based on qubits that have not yet demonstrated high-fidelity gates; schemes to improve the performance and functionality of qubits; quantum transduction; quantum communication, networking, and key distribution; cryptography and cryptanalysis; and logical qubits beyond considerations given to scaling to ~10 qubit devices.

PD 15-1637, Structural and Architectural Engineering (SAE) program replaces Hazard Mitigation and Structural Engineering (HMSE) program. The overall goal of the Structural and Architectural Engineering (SAE) program is to evolve sustainable structures, such as buildings, that can be continuously occupied and /or operational during the structure's useful life. The SAE program supports fundamental research for advancing knowledge and innovation in structural and architectural engineering that enables holistic approach to design, construction, operation, maintenance, retrofit, repair and end-of-life disposal of structures. For buildings, holistic approach incorporates the foundation-structure-envelope-nonstructural system, as well as the façade and roofing. Research topics of interest for sustainable structures include the following: strategies for structures that over their lifecycle are cost-effective, make efficient use of resources and energy, and incorporate sustainable structural and architectural materials; deterioration due to fatigue and corrosion; serviceability concerns due to large deflections and vibrations; and advances in physics-based computational modeling and simulation. Research is encouraged that integrates discoveries from other science and engineering fields, such as materials science, building science, mechanics of materials, dynamic systems and control, reliability, risk analysis, architecture, economics and human factors. The program also supports research in sustainable and holistic foundation-structure-envelope-nonstructural systems and materials as described in the following reports: * National Science and Technology Council, High Performance Buildings; Final Report: Federal R & D Agenda for Net Zero Energy, High-Performance Green Buildings. Building Technology Research and Development (BTRD) Subcommittee, OSTP, U.S. Government, September 2008. http://www.whitehouse.gov/files/documents/ostp/NSTC%20Reports/Federal%20RD%20Agenda%20for%20N

The NSF/Intel Partnership on Computer Assisted Programming for Heterogeneous Architectures (CAPA) aims to address the problem of effective software development for diverse hardware architectures through groundbreaking university research that will lead to a significant, measurable leap in software development productivity by partially or fully automating software development tasks that are currently performed by humans. The main research objectives for CAPA include programmer effectiveness, performance portability, and performance predictability. In order to address these objectives, CAPA seeks research proposals that explore (1) programming abstractions and/or methodologies that separate performance-related aspects of program design from how they are implemented; (2) program synthesis and machine learning approaches for automatic software construction that are demonstrably correct; (3) advanced hardware-based cost models and abstractions to support multi-target code generation and performance predictability for specified heterogeneous hardware architectures; and (4) integration of research results into principled software development practices.

The proliferation of mobile and Internet-of-Things (IoT) devices, and their pervasiveness across nearly every sphere of our society, continues to raise questions about the architectures that organize tomorrow's compute infrastructure. At the heart of this trend is the data that will be generated as myriad devices and application services operate simultaneously to digitize a complex domain like a smart building or smart industrial facility. A key shift is from edge devices consuming data produced in the cloud to edge devices being a voluminous producer of data. This shift reopens a broad variety of system-level research questions concerning data placement, movement, processing and sharing. Importantly, the shift also opens the door to compelling new applications with significant industrial and societal impact in domains such as healthcare, manufacturing, transportation, public safety, energy, buildings, and telecommunications.

The overall goal of the Structural and Architectural Engineering and Materials (SAEM) program is to enable sustainable buildings and other structures that can be continuously occupied and/or operated during the structure's useful life. The SAEM program supports fundamental research for advancing knowledge and innovation in structural and architectural engineering and materials that promotes a holistic approach to analysis and design, construction, operation, maintenance, retrofit, and repair of structures. For buildings, all components including the foundation-structure-envelope (the façade, curtain-wall and roofing) and interior systems, are of interest to the program. Research in new engineering concepts and design paradigms for buildings that have significantly reduced dependence and interdependence on municipal infrastructure through, for example, self-hydrating (closed-loop water system) and self-heating-cooling-ventilating (energy usage) is encouraged. In addition, the program targets research in the building systems that are reconfigurable for rapid construction, disassembly and disposal, are reliable and resilient, and are less complex. Research topics of interest for sustainable structures include the following: strategies for structures that over their lifecycle are cost-effective, make efficient use of resources and energy, and incorporate sustainable structural and architectural materials; mitigation of deterioration due to fatigue and corrosion; serviceability related to large deflections and vibrations; and advances in physics-based computational modeling and simulation.

The Civil Infrastructure Systems (CIS) program supports fundamental and innovative research necessary for designing, constructing, managing, maintaining, operating and protecting efficient, resilient and sustainable civil infrastructure systems. Research that recognizes the role that these systems play in societal functioning and accounts for how human behavior and social organizations contribute to and affect the performance of these systems is encouraged. While component-level, subject-matter knowledge may be crucial in many research efforts, this program focuses on the civil infrastructure as a system in which interactions between spatially-distributed components and intersystem connections exist. Thus, intra- and inter-physical, information and behavioral dependencies of these systems are also of particular interest. Topics pertaining to transportation systems, construction engineering, infrastructure systems and infrastructure management are a focus of this program. Research that considers either or both ordinary and disrupted operating environments is relevant. Methodological contributions pertaining to systems engineering and design, network analysis and optimization, performance management, vulnerability and risk analysis, mathematical and simulation modeling, exact and approximate algorithm development, control theory, statistical forecasting, dynamic and stochastic systems approaches, multi-attribute decision theory, and incorporation of behavioral and social considerations, not excluding other methodological areas or the integration of methods, specific to this application are encouraged. Additional research of interest exploits data/information, and takes advantage of relevant technological advances, such as social media. In general, research that has the promise of long-lasting, cascading (hopefully escalating) impact on the wider research community through its theoretical, scientific, mathematical or computational contributions is valued. The program d

The GLCPC is seeking innovative proposals that fall into four categories: Scaling studies: The scaling of codes which will operate efficiently on large numbers of parallel processors presents a number of challenges.  Therefore, projects of particular interest include those that optimize and/or scale community codes to very large scales. Examples include scaling of multilevel parallel applications (MPI+OpenMP), accelerators (CUDA, OpenACC or OpenCL), I/O and Data intensive applications, or novel communication topologies.  Multi-GLCPC-institutional projects addressing focused scientific projects. An example might be a Great Lakes Ecosystems Modeling initiative (Digital Great Lakes). Proposals for applications well-suited for the BW system architecture. Proposals from non-traditional and underserved communities.  

The Geotechnical Engineering and Materials Program (GEM) supports fundamental research in soil and rock mechanics and dynamics in support of physical civil infrastructure systems. Also supported is research on improvement of the engineering properties of geologic materials for infrastructure use by mechanical, biological, thermal, chemical, and electrical processes. The Program supports the traditional areas of foundation engineering, earth structures, underground construction, tunneling, geoenvironmental engineering, and site characterization, as well as the emerging area of bio-geo engineering, for civil engineering applications, with emphasis on sustainable geosystems. Research related to the geotechnical engineering aspects of geothermal energy and geothermal heat pump systems is also supported. The GEM program encourages knowledge dissemination and technology transfer activities that can lead to broader societal benefit and implementation for provision of physical civil infrastructure. The Program also encourages research that explores and builds upon advanced computing techniques and tools to enable major advances in Geotechnical Engineering.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. New, smart CPS drive innovation and competition in a range of application domains including agriculture, aeronautics, building design, civil infrastructure, energy, environmental quality, healthcare and personalized medicine, manufacturing, and transportation. Moreover, the integration of artificial intelligence with CPS creates new research opportunities with major societal implications.

This program seeks to accelerate fundamental, broad-based research on wireless-specific machine learning (ML) techniques, towards a new wireless system and architecture design, which can dynamically access shared spectrum, efficiently operate with limited radio and network resources, and scale to address the diverse and stringent quality-of-service requirements of future wireless applications. In parallel, this program also targets research on reliable distributed ML by addressing the challenge of computation over wireless edge networks to enable ML for wireless and future applications. Model-based approaches for designing the wireless network stack have proven quite efficient in delivering the networks in wide use today; research enabled by this program is expected to identify realistic problems that can be best solved by ML and to address fundamental questions about expected improvements from using ML over model-based methods.

The Engineering for Civil Infrastructure (ECI) program supports fundamental research that will shape the future of our nation's constructed civil infrastructure, subjected to and interacting with the natural environment, to meet the needs of humans. In this context, research driven by radical rethinking of traditional civil infrastructure in response to emerging technological innovations, changing population demographics, and evolving societal needs is encouraged. The ECI program focuses on the physical infrastructure, such as the soil-foundation-structure-envelope-nonstructural building system; geostructures; and underground facilities. It seeks proposals that advance knowledge and methodologies within geotechnical, structural, architectural, materials, coastal, and construction engineering, especially that include collaboration with researchers from other fields, including, for example, biomimetics, bioinspired design, advanced computation, data science, materials science, additive manufacturing, robotics, and control theory. Research may explore holistic building systems that view construction, geotechnical, structural, and architectural design as an integrated system; adaptive building envelope systems; nonconventional building materials; breakthroughs in remediated geological materials; and transformational construction processes. Principal investigators are encouraged to consider civil infrastructure subjected to and interacting with the natural environment under “normal” operating conditions; intermediate stress conditions (such as deterioration, and severe locational and climate conditions); and extreme single or multi natural hazard events (including earthquakes, windstorms, tsunamis, storm surges, sinkholes, subsidence, and landslides).

The Headlands Center for the Arts campus comprises a cluster of artist-rehabilitated military buildings just north of the Golden Gate Bridge at historic Fort Barry in the Marin Headlands, a part of the Golden Gate National Recreation Area. The center's programs support artists in all disciplines - from visual artists to performers, musicians, writers, and videographers - and provide opportunities for independent and collaborative creative work. The center currently is inviting applications for its Artist in Residence program. Through the program, fully sponsored residencies that include a monthly stipend of $500 will be awarded to approximately fifty local, national, and international artists at the cutting edge of their fields whose work has the potential to impact the cultural landscape at large. Residencies run from four to ten weeks and include round-trip airfare, up to 2,000-square-foot studios, five chef-prepared meals per week, access to vehicles as well as basic woodshop; audio/video equipment; an artists' library with computer, scanner, and printer; and field trips to Bay Area museums, galleries, and cultural venues. There is an application fee of $25. Eligible artists may be at any stage their career and work in any media, including drawing, painting, sculpture, photography, film, video, new media, installation, fiction and nonfiction writing, poetry, dance, music, interdisciplinary, social practice, and architecture.

The Board of Regents is seeking high quality, focused cooperative education and internship program proposals from Ohio institutions of higher education and their partners. This program has been funded  through one-time casino licensing fees; it is expected that the funds will be awarded to build systems to sustain co-ops and internships beyond the direct investment from the State and to ensure these workbased learning opportunities are relevant to the needs of students and businesses. Funds will be awarded to build the capability and capacity of programs to engage more students, more businesses,  and more faculty members in co-op and internship programs. The programs should address the talent needs of JobsOhio key industries.

The following programs have due dates that fall between October 1 - 25, 2013, and these dates are being revised due to the Federal  government shutdown. These revised dates apply whether the proposal is being submitted via the NSF FastLane System or  Grants.gov. Due to compressed proposal deadlines resulting from the shutdown, proposers are advised that they may experience a  delay when contacting IT Help Central with technical support questions. Frequently asked questions regarding these date changes  are available on the Resumption of Operations page on the NSF website at: http://www.nsf.gov/bfa/dias/policy/postshutdown.jsp. 

This funding opportunity announcement (FOA) is designed to support highly integrated research teams of three to six PD/PIs to address ambitious and challenging research questions that are important for the mission of NIGMS and are beyond the scope of an individual or a few investigators. Collaborative program teams are expected to accomplish goals that require considerable synergy and managed team interactions. Project goals should not be achievable with a collection of individual efforts or projects. Teams are encouraged to consider far-reaching objectives that will produce major advances in their fields. Applications that are mainly focused on the creation, expansion, and/or maintenance of community resources, creation of new technologies or infrastructure development are not appropriate for this FOA.