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The Division of Atmospheric and Geospace Sciences (AGS), awards Postdoctoral Research Fellowships (PRF) to highly qualified early career investigators to carry out an independent research program. The research plan of each Fellowship must address scientific questions within the scope of AGS disciplines. These disciplines include Atmospheric Chemistry (ATC), Climate and Large-Scale Dynamics (CLD), Paleoclimate (PC), and Physical and Dynamic Meteorology (PDM) in the Atmospheric Sciences, and Aeronomy (AER), Magnetospheric Physics (MAG), Solar Terrestrial (ST), and Space Weather Research (SWR) in the Geospace Sciences. The AGS-PRF program supports researchers (also known as Fellows) for a period of up to 24 months with Fellowships that can be taken to the institution of their choice. The program is intended to recognize beginning investigators of significant potential and provide them with experiences in research that will broaden perspectives, facilitate interdisciplinary interactions, and help establish them in leadership positions within the Atmospheric and Geospace Sciences community. Fellowships are awards to individual Fellows, not institutions, and are administered by the Fellows.

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With this solicitation, the Division of Chemistry is piloting the removal of deadlines for the submission of proposals to the CLP, CSD and CTMC Programs. The no-deadline pilot seeks to assess the benefits and challenges of removing deadlines in proposal submission for the chemistry research community: the removal of deadlines on proposal submission is intended to allow principal investigators (PIs) more flexibility and better facilitate interdisciplinary research. It may, however, have unanticipated consequences for PIs, reviewers, and institutions. This solicitation applies only to the Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), and Chemical Theory, Models and Computational Methods (CTMC) programs. Other than the following exceptions, all proposals submitted to the CLP, CSD, and CTMC programs must be submitted through this solicitation, otherwise they will be returned without review. Exceptions: Faculty Early Career Development Program (CAREER) proposals should be submitted through the CAREER solicitation (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503214) by the CAREER deadline date specified. Facilitating Research at Primarily Undergraduate Institutions: Research in Undergraduate Institutions (RUI) and Research Opportunity Awards (ROA) proposals should be submitted through the RUI/ROA solicitation (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5518). In addition to the requirements of the RUI program, proposals should follow the guidance in this solicitation. Proposals submitted through the RUI/ROA solicitation to the CLP, CSD, and....

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**UPDATE 5 APRIL 2024: The proposal submission date has been updated to 24 April 2024. The FOA has been amended to reflect this submission date and include a Question and Answer document based on questions received from interested applicants. Other than the updated proposal submission date in the FOA, the actual FOA Amendment has not been changed. However, the answers provided in the Q&A document are considered part of the FOA Amendment.** **CYCLE 2 UPDATE 20 MARCH 2024 - THE OPPORTUNITY WEBINAR FOR CYCLE 2 WILL BE HELD ONLINE VIA MS TEAMS AT 1500 EDT ON 22 MARCH 2024 AT THE FOLLOWING LINK: https://dod.teams.microsoft.us/l/meetup-join/19%3adod%3ameeting_5fa41fe6fa874484b473d8a6ba7921c6%40thread.v2/0?context=%7b%22Tid%22%3a%22fae6d70f-954b-4811-92b6-0530d6f84c43%22%2c%22Oid%22%3a%22e9f6fc39-8f22-44e5-8bd0-64f0cde32305%22%2c%22IsBroadcastMeeting%22%3atrue%7d **UPDATE 14 MARCH 2024 - CYCLE 2 HAS BEEN POSTED TO THE ANNOUNCEMENT. PLEASE REVIEW THE UPDATED ANNOUNCEMENT IN FULL FOR SUBMISSION TIME, UPDATED TOPIC, AND FUNDING AMOUNT AND SCHEDULE CHANGES FROM CYCLE 1** TACTICAL BEHAVIORS FOR AUTONOMOUS MANEUVER COLLABORATIVE RESEARCH PROGRAM (TBAM-CRP) Future Army forces will be called upon to operate and maneuver in multi-domain operations (MDO), against a modern and capable peer adversary. The battlefield of the future may impose additional constraints on maneuver forces such as disruption in communication as well as positioning services. To field a highly capable fighting force in this future battlefield, novel tactics and doctrines leveraging nascent technologies in robotics and...

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AEIF provides alumni of U.S. sponsored and facilitated exchange programs with funding to expand upon skills gained during their exchange experience to design and implement innovative solutions to global challenges facing their community. Since its inception in 2011, AEIF has funded nearly 500 alumni-led projects around the world through a competitive global competition. This year, AEIF 2022 will support United States’ commitment to:   ·        Support North Macedonia in embracing inclusive democracy, citizen-responsive government, and rule of law; ·        Continue to aid North Macedonia’s efforts to fully integrate into Euro-Atlantic institutions; and ·        Enable North Macedonia to build a stronger, more diversified economy. Themes: The U.S. Embassy North Macedonia will accept public service projects proposed and managed by teams of at least two (2) alumni that support themes such as: Educational programs and initiatives that contribute to business transparency and improving North Macedonia’s investment climate;  Innovative programs that raise climate awareness by focusing on the green economy and eco-friendly entrepreneurial initiatives;  Educational and training programs on media and digital education and literacy;  Educational and training programs on artificial intelligence and cybersecurity in the era of 5G technology and digitalization;  Programs advancing energy cooperation and energy security;  Programs that support women’s, minorities’, and other underrepresented groups’ political, security, economic, and civic participation, and inclusion;  Programs elevating...

The Dynamics, Control and Systems Diagnostics (DCSD) program supports fundamental theoretical, computational, and experimental research that is knowledge-driven or inspired by applications, focusing on the modeling, analysis, diagnostics and control of the dynamic behavior of systems. Proposals submitted to the DCSD program should articulate how the proposed work advances knowledge in at least one of the following foundational areas: Modeling: mathematical frameworks to understand and predict the behavior of dynamic systems. Analysis: theoretical and computational tools for discovery and exploration of salient properties of dynamic systems. Diagnostics: methods to relate underlying causes to observed behaviors of dynamic systems. Control: methods to produce desired behavior, or mitigate undesired behavior, in dynamic systems. The DCSD program encourages principal investigators (PIs) to request the amount of financial support necessary and sufficient to achieve the scope of the proposed research and to justify this accordingly. PIs are encouraged to send a one-page Project Summary to dcsd@nsf.gov to receive feedback from the Program Directors on whether the project aligns with DCSD program objectives.

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The Energy, Power, Control, andNetworks (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. Areas managed by Program Directors (please contact Program Directors listed in the EPCN staff directory for areas of interest): Control Systems Distributed Control and Optimization Networked Multi-Agent Systems Stochastic, Hybrid, Nonlinear Systems Dynamic Data-Enabled Learning, Decision and Control Cyber-Physical Control Systems Applications (Biomedical, Transportation, Robotics) Energy and Power Systems Solar, Wind, and Storage Devices Integration with the Grid Monitoring, Protection and Resilient Operation of Grid Power Gr...

The Economics program supports research designed to improve the understanding of the processes and institutions of the U.S. economy and of the world system of which it is a part. This program also strengthens both empirical and theoretical economic analysis as well as the methods for rigorous research on economic behavior. It supports research in almost every area of economics, including econometrics, economic history, environmental economics, finance, industrial organization, international economics, labor economics, macroeconomics, mathematical economics, and public finance. The Economics program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, symposia, experimental research, data collection and dissemination, computer equipment and other instrumentation, and research experience for undergraduates. The program places a high priority on interdisciplinary research. Investigators are encouraged to submit proposals of joint interest to the Economics Program and other NSF programs and NSF initiative areas. The program places a high priority on broadening participation and encourages proposals from groups and regions that traditionally have not participated fully in science, mathematics, and engineering. The program also funds conferences and interdisciplinary research that strengthens links among economics and the other social and behavioral sciences as well as mathematics and statistics. The Doctoral Dissertation Research Improvement Grants (DDRIG) funding opportunity is designed to improve the....

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