Funding Opportunities
Sign In/Sign UpThe Test Bed: Toward a Network of Programmable Cloud Laboratories (PCL Test Bed) program seeks to establish and facilitate the operation of distributed autonomous laboratory facilities. These laboratories will combine technological and human capacity to enable integration, testing, evaluation, validation, and translation of cutting-edge technology solutions in automated science and engineering. The PCL Test Bed will consist of a set of Programmable Cloud Laboratory Nodes (PCL Nodes) that can be remotely accessed to run custom workflows specified and programmed by users, that are linked together via computational networking, shared science questions, and data and artificial intelligence (AI) standards. User Recruitment and On-Boarding Workshops will be a key component of the PCL Test Bed program and will serve to recruit users to individual PCL Nodes and the Test Bed to help make progress on the proposed science drivers, provide access to technology, test the limits of the experimental set-up of the nodes, and explore new research opportunities between the PCL Nodes and institutions. The PCL Test Bed will be available to researchers in academia as well as industry, including current and former awardees from the Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) programs.
The Gordon & Betty Moore Foundation's Experimental Physics Investigators Initiative seeks to support creative individuals who have recently received tenure (or its equivalent) to tackle interesting new research problems with enough flexibility to pivot when necessary and to bring on students and a postdoc to accelerate their progress. The Foundation is committed to advancing science in highly productive research teams. The Foundation will also make available additional equipment funds if progress dictates a course change, and will enable investigators to spend time with peers in the same career stage who are probing physics frontiers with new tools and ideas to foster collaborations and out-of-the-box research ideas. The experimental fields being considered include atomic/molecular/optical physics, biophysics, chemical physics, condensed matter, fluid dynamics, geophysics, laser physics, materials, polymer physics, plasma physics, precision measurements, quantum information, and soft matter physics.
Brain Research Foundation’s Annual Seed Grant Program was initiated in 1981. The program's purpose is to provide start-up monies for new research projects in the field of neuroscience that will likely lead to extramural funding from the National Institutes of Health (NIH) or other outside funding sources. The objective of the BRF Seed Grant Program is to support new and innovative projects, especially those of junior faculty, who are working in new research directions. The grant proposal must detail a new research project that is not funded by other sources.
The Camille Dreyfus Teacher-Scholar Awards Program supports the research and teaching careers of talented young faculty in the chemical sciences. Based on institutional nominations, the program provides discretionary funding to faculty at an early stage in their careers. The Foundation seeks Camille Dreyfus Teacher-Scholars who demonstrate leadership in research and education. Nominations must provide compelling evidence of the advance of important knowledge in the chemical sciences (including chemistry, biochemistry, materials chemistry, and chemical engineering ) by the nominee. Further, the nomination should describe dedication and contributions to education in the chemical sciences, particularly with respect to undergraduates.
To respond to the growing threats to the safety, security, and privacy of open-source ecosystems (OSEs), NSF is launching the Safety, Security, and Privacy for Open-Source Ecosystems (Safe-OSE) program. This program solicits proposals from OSEs, including those not originally funded by NSF's Pathways to Enable Open-Source Ecosystems (POSE) program, to address significant safety, security, and/or privacy vulnerabilities, both technical (e.g., vulnerabilities in code and sidechannels) and socio-technical (e.g., supply chain, insider threats, and social engineering). Safe-OSE applies to any type of OSE, including those based on scientific methodologies, models, and processes; manufacturing processes and process specifications; materials formulations; programming languages and formats; hardware instruction sets; system designs or specifications; and data platforms. The goal of the Safe-OSE program is to catalyze meaningful improvements in the safety, security, and privacy of the targeted OSE that the OSE does not currently have the resources to undertake. Funds from this program should be directed toward efforts to enhance the safety, security, and privacy characteristics of the opensource product and its supply chain as well as to bolster the ecosystem's capabilities for managing current and future risks, attacks, breaches, and responses.
