The Client engages in the development of technologies to enable the permeation or isolation of a target gas from the air in the plant plumbing that contain high-temperature, high-pressure steam and different gasses. The Client has to date developed high-durability polymer materials as well as ceramic and other materials with improved permeability and isolation of target gasses. As the development of relevant materials for a broad range of applications, including gas filter separators and gas barrier materials, is carried out more widely, the Client has decided to make this RFP to further accelerate the development of their research and development endeavors.

Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects that aim to advance the frontiers of quantum information science and engineering. Research at these Institutes will span the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. The institutes are expected to foster multidisciplinary approaches to specific scientific, technological, educational workforce development goals in these fields. Two types of awards will be supported under this program: (i) 12-month Conceptualization Grants (CGs) to support teams envisioning subsequent Institute proposals and (ii) 5-year Challenge Institute (CI) awards to establish and operate Quantum Leap Challenge Institutes. This activity is part of the Quantum Leap, one of the research Big Ideas promoted by the National Science Foundation (NSF). The NSF Quantum Leap Challenge Institutes program is consistent with the scope of NSF multidisciplinary centers for quantum research and education as described in the National Quantum Initiative Act[1]. In 2016, the NSF unveiled a set of "Big Ideas," ten bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. Although proposals responding to this solicitation must be submitted tothe Office of Multidisciplinary Activities (OMA) in the Directorate of Mathematical and Physical Sciences (MPS),they will subsequently be managed by a cross-disciplinary team of NSF Program Directors.

VentureWell Faculty Grants provide up to $30,000 to help fund and support faculty with innovative ideas to create new or transform existing courses and programs to help students develop novel, STEM-based inventions and gain the necessary entrepreneurial skills needed to bring these ideas to market. We will be seeking proposals for areas that will support the emerging generation of inventors and innovators and the i&e ecosystems critical to their success. Successful grant proposals include: - A focus on technology entrepreneurship - Experiential learning by doing, and creative approaches to solving real world problems, - The formation of student teams focused on technology inventions with positive social and/or environmental impact - A supportive entrepreneurial ecosystem for student teams to pursue commercialization - A plan for continuation of the course or program after VentureWell funding

The National Science Foundation (NSF) and The Boeing Company are supporting a new initiative, managed and administered by NSF through its EHR Core Research (ECR) program, to accelerate training in critical skill areas for the Nation's engineering and advanced manufacturing workforce. The EHR Core Research: Production Engineering Education and Research (ECR: PEER) initiative supports foundational research arising from the design, development, and deployment of creative online curricula that provide learners at various levels with skills in five focal areas: model-based systems engineering, software engineering, mechatronics, data science, and artificial intelligence. ECR: PEER invites proposals to design, develop, deploy, and study the effectiveness of online courses in any one of these focal areas using the theories and tools of the learning sciences. Proposals for these ECR: PEER Course, Curriculum, and Evaluation projects may request a maximum of $2,000,000 support for a duration of up to three years. Additionally, ECR: PEER welcomes proposals to convene experts in the academic, for-profit, and non-profit sectors to imagine the future of production engineering education for one of the five focal areas. Proposals for these ECR: PEER Workforce Development Workshops may request a maximum of $100,000 support for a duration of up to one year.

The Geospace Section of the Division of Atmospheric and Geospace Sciences is pleased to offer awards for the creation of new tenure-track faculty positions within the intellectual disciplines which comprise the space sciences to ensure the health and vitality of solar and space sciences on university teaching faculties. The aim of these awards is to integrate research topics in solar and space physics into basic physics, astronomy, electrical engineering, geoscience, meteorology, computer science, and applied mathematics programs, and to develop space physics graduate programs capable of training the next generation of leaders in this field. Space Science is interdisciplinary in nature and the Faculty Development in the Space Sciences awardees will be expected to establish partnerships within the university community.  NSF funding will support the entire academic year salary and benefits of the newly recruited tenure-track faculty member for a duration of up to five years with a total award amount not to exceed $1,500,000.

Funding Opportunity Announcement (FOA) to solicit production technology project proposals for the DPA Title III Program managed by the Office of the Secretary of Defense (OSD) and executed by the Department of Defense (DoD), DPA Title III Executive Agent Program Office, a component of the Manufacturing & Industrial Technologies Division (AFRL/RXM) of the Materials and Manufacturing Directorate, Air Force Research Laboratory.

NineSigma, representing a global manufacturer, seeks technologies or ideas that can simplify a system of bearingless motor, for cost reduction. Proposals related to the components such as bearingless motor itself, thrust bearing, and control of the system are widely welcome. (Concept-level proposals are also welcome.)

Devices to maintain beauty are already available on the market. However, care provided by these devices is still limited to one based on the age or skin characteristics measured at special facilities. Devices for personalized treatment suitable for every individual condition and every environment is not yet provided. A personalized beauty care that incorporates innovative technologies is therefore supposed to possibly offer new beauty care experiences. The Client aims at building a device or service to meet any one of the following needs through cooperation with a partner: Allow individuals to grasp their beauty conditions and environment by using a device or service in an easy, speedy, and accurate manner at home. The beauty conditions include: skin conditions (e.g., wrinkles, blemishes, pores, texture, moisture content, sebum quantity, blood flow volume, color, elasticity, inflammation, pimples, porphyrin, desquamation, lymph, hidden blemishes, infiltration of cosmetics),  hair characteristics (e.g., temperature, moisture content, color, glow, electrostatic charge amount, pH, damages [e.g., cuticle peel-off, porosity, component balance, breakage, split hair], waviness, length, amount), and  beard characteristics (e.g., length, thickness, color, hair-raising angle, direction, ingrown hair, hairline).  The environment includes temperature, humidity, and ultraviolet quantity.

The Client aims at establishing automatic and labor-saving inspection system of subsea facilities by introducing robots. Currently, underwater robots are navigated and controlled by transmitting signals, via cables, from the ships. This wire communication method limits operating area of robots and can be susceptible to troubles, such as cable tangling and destabilization of robotic performance by the influence of tidal currents. In addition, acoustic communication is utilized for detecting locations of robots, but its transmission speed and quality are not competent.   Optical wireless communication technology has potential for high-speed and high-capacity communication under the sea, therefore the Client expects it can improve underwater operation and control of robots dramatically. By building medium- to long-term partnership with organizations that possess these technologies, the Client aims to establish embeddable wireless communication technology between robots under the sea as their initial target.   Furthermore, establishment of communication technology capable of navigation signal transmission to underwater robots from an onshore / offshore base (i.e. from a ship) is their ultimate target.

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.

In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Computer & Information Science & Engineering/Division of Computing and Communication Foundations (CISE/CCF), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF'sHarnessing the Data Revolution (HDR) Big Ideais a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in: Foundations of data science; Algorithms and systems for data science; Data-intensive science and engineering; Data cyberinfrastructure; and Education and workforce development.

The purpose of this Request for Proposal (RFP) is to solicit proposals from firms experienced in the development and implementation of Robotics Process Automation (RPA) solutions. BWC is interested in evaluating solutions which would enable the agency to automate structured repetitive tasks to minimize manual intervention and introduce process efficiencies. Such processes will typically require the bots to access multiple systems, various formats of data like text, excel workbooks, word, databases and subsequently retrieve, populate and generate data fields based on responses. The proposed solution must have the capability to automate end to end processes and contain inherent logic handling mechanisms with exception handling.

NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in: Foundations of data science; Algorithms and systems for data science; Data-intensive science and engineering; Data cyberinfrastructure; and Education and workforce development. Each of these efforts is designed to amplify the intrinsically multidisciplinary nature of the emerging field of data science. The HDR Big Idea will establish theoretical, technical, and ethical frameworks that will be applied to tackle data-intensive problems in science and engineering, contributing to data-driven decision-making that impacts society.

The Divisions of Chemical, Bioengineering and Environmental Transport (CBET) and Civil, Mechanical, and Manufacturing Infrastructure (CMMI) in the Engineering Directorate of the National Science Foundation (NSF) are partnering with The Center for the Advancement of Science in Space (CASIS) to solicit research projects in the general fields of tissue engineering and mechanobiology that can utilize the International Space Station (ISS) National Lab to conduct research that will benefit life on Earth. U.S. entities including academic investigators, non-profit independent research laboratories and academic-commercial teams are eligible to apply.

The need for a well-defined NSF mid-scale funding program has been recognized by stakeholders in the scientific community and by Congress in the American Innovation and Competitiveness Act (AICA) of 2017. As one of four "process ideas" in the NSF suite of 10 Big Ideas, the Mid-scale Research Infrastructure Program is aimed at transforming scientific and engineering research fields as well as science, technology, engineering and mathematics (STEM) education research fields by making available new capabilities, while simultaneously training early-career researchers in the development, design, and construction of cutting-edge infrastructure.

The landscape of jobs and work is changing at unprecedented speed, enabled by advances in computer and engineering technologies such as artificial intelligence and robotics, deeper understanding of societal and environmental change, advances in the learning sciences, pervasive, intelligent, and autonomous systems, and new conceptions of work and workplaces. This technological and scientific revolution presents a historical opportunity to the Nation and its people, in the creation of new industries and occupations, enhanced productivity and quality of work life, and the potential for more people to participate in the workforce, ultimately yielding sustained innovation and global leadership. But, as history teaches, such changes also come with risks. Some risks are immediate, such as jobs lost to automation or demand for skills not met by current educational pathways. Other equally important risks include new security threats, algorithmic biases, unanticipated legal consequences including privacy implications, dependence on technology and erosion of human knowledge and skills, inadequate workplace policies and practices, or undesirable impact on the built environment.

NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:

Navigating the New Arctic (NNA), one of NSF's 10 Big Ideas, embodies the Foundation's forward-looking response to these profound challenges.  NNA seeks innovations in Arctic observational networks and fundamental convergence research across the social, natural, environmental, and computing and information sciences, and engineering that address the intersection of natural, social, and built systems.  NNA promotes initiatives that empower new research communities, diversifies the next generation of Arctic researchers, integrates the co-production of knowledge, and engages partnerships, particularly among international stakeholders. NNA also strongly encourages projects that include or focus on advancing STEM education and workforce development objectives on the scientific themes described below. 

The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Competency-Aware Machine Learning (CAML) program. The Proposers Day will be held via prerecorded webcast on February 20, 2019 at 11:00AM and will repost at 3:00 PM. Advance registration is required for viewing the webcast. Note, all times listed in this announcement and on the registration website are Eastern Time.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering research and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers' abilities to lead the development of new CI; and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses for advancing fundamental research. Pilot and Implementation projects may target one or both of the solicitation goals, while Large-scale Project Conceptualization projects must address both goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental research.