Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)

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The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and the Simons Foundation Division of Mathematics and Physical Sciences will jointly sponsor up to two new research collaborations consisting of mathematicians, statisticians, electrical engineers, and theoretical computer scientists. Research activities will be focused on explicit topics involving some of the most challenging questions in the general area of Mathematical and Scientific Foundations of Deep Learning. Letter of Intent is required and was due 3/27/2020.

Harnessing the Data Revolution (HDR): Institutes for Data-Intensive Research in Science and Engineering – Frameworks (I-DIRSE-FW)

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The HDR Institutes activity seeks to create an integrated fabric of interrelated institutes that can accelerate discovery and innovation in multiple areas of data-intensive science and engineering. The HDR Institutes will achieve this by harnessing diverse data sources and developing and applying new methodologies, technologies, and infrastructure for data management and analysis. The HDR Institutes will support convergence between science and engineering research communities as well as expertise in data science foundations, systems, applications, and cyberinfrastructure. In addition, the HDR Institutes will enable breakthroughs in science and engineering through collaborative, co-designed programs to formulate innovative data-intensive approaches to address critical national challenges.

NNSA Stewardship Science Graduate Fellowship

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Last deadline was 1/8/20. The Department of Energy National Nuclear Security Administration Stewardship Science Graduate Fellowship (DOE NNSA SSGF) provides excellent financial benefits and professional development opportunities to students pursuing a Ph.D. in fields of study that solve complex science and engineering problems critical to stewardship science.

2020 Research Dissertation Grant

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Microsoft recognizes the value of diversity in computing. The Microsoft Research Dissertation Grant aims to increase the pipeline of diverse talent receiving advanced degrees in computing-related fields by providing a research funding opportunity for doctoral students who are underrepresented in the field of computing. This includes those who self-identify as a woman, African American, Black, Hispanic, Latinx, American Indian, Alaska Native, Native Hawaiian, Pacific Islander, and/or person with a disability.

Measurement Science and Engineering (MSE) Research Grant Programs

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Range $10,000 – $1,000,000 depending on the program. The MML Grant Program provides financial assistance to support the conduct of research or a recipient’s portion of collaborative research in the following fields: materials science and engineering, materials measurement science, biosystems and biomaterials, biomolecular measurements, chemical sciences, and applied chemicals and materials.

Cybermanufacturing Systems

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An opportunity for researchers to pursue research and educational efforts to accelerate the creation of an interoperating, cross-process manufacturing service layer that enables the rapid, bottom-up transformation of access to manufacturing services.

Cyberinfrastructure for Emerging Science and Engineering Research (CESER)

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The overall goal of the Cyberinfrastructure for Emerging Science and Engineering Research (CESER) program is to foster the development of innovative cyberinfrastructure (CI) technologies and new means of leveraging existing CI resources to catalyze emerging areas of potentially transformative science and engineering research, including NSF priority areas, national strategic initiatives, and international collaborative research._