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Proposal budgets that are much larger than typical should be discussed with the Program Director prior to submission. Proposers can view budget amounts and other information from recent awards made by this program via the "What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)" link towards the bottom of this page. Faculty Early Career Development(CAREER)program proposals are strongly encouraged. Award duration is five years.The submission deadline for Engineering CAREER proposals is in July every year. Learn more in the CAREER program description. Proposals for Conferences, Workshops, and Supplements: PIs are strongly encouraged to discuss their requests with the Program Director before submission of the proposal. Grants forRapid Response Research(RAPID)andEArly-concept Grants for Exploratory Research(EAGER)are also considered when appropriate.Please note that proposals of these types must be discussed with the program director before submission. Grant Opportunities for Academic Liaison with Industry (GOALI)proposals that integrate fundamental research with translational results and are consistent with the application areas of interest to each program are also encouraged. Please note that RAPID, EAGER, and GOALI proposals can be submitted anytime during the year. Details about RAPID, EAGER, and GOALI are available in theProposal & Award Policies & Procedures Guide(PAPPG), Part 1, Chapter II, Section E. COMPLIANCE: Proposals which are not compliant with theProposal & Award Policies & Procedures Guide (PAPPG)will be returned without review.

The Microsoft Foundation is inviting applications for its Dissertation Grants program. The program supports PhD students at North American universities who are underrepresented in the field of computing and pursuing research aligned to the research areas carried out by Microsoft Research. Through the program, recipients will receive funding of up to $25,000 for the 2020-21 academic year as well as an invitation to the PhD Summit, a two-day workshop in the fall held at one of Microsoft Research's labs where fellows will meet with Microsoft researchers and other top students to share their research. Fellows must be aligned in research areas as defined by Microsoft Research, which include artificial intelligence; audio and acoustics; computer vision; graphics and multimedia; human-computer interaction; human language technologies; search and information retrieval; data platforms and analytics; hardware and devices; programming languages and software engineering; security, privacy, and cryptography; systems and networking; algorithms; mathematics; ecology and environment; economics; medical, health, and genomics; social sciences; and technology for emerging markets.

Scientific machine learning is a core component of artificial intelligence and a computational technology that can be trained, with scientific data, to augment or automate human skills. Major research advances will be enabled by harnessing DOE investments in massive amounts of scientific data, software for predictive models and algorithms, high-performance computing (HPC) and networking platforms, and the national workforce. The crosscutting nature of machine learning and AI provides strong motivation for formulating a prioritized research agenda. Scientific Machine Learning and Artificial Intelligence (Scientific AI/ML) will have broad use and transformative effects across the research communities supported by DOE. Accordingly, a 2019 Basic Research Needs workshop report identified six Priority Research Directions. The first three PRDs describe foundational research themes that are common to the development of Scientific AI/ML methods and correspond to the need for domain-awareness, interpretability, and robustness. The other three PRDs describe capability research themes and correspond to the three major use cases of massive scientific data analysis (PRD #4), machine learning-enhanced

The specific areas of interest are: 1. HED Hydrodynamics 2. Radiation-Dominated Dynamics and Material Properties 3. Magnetized HED Plasma Physics 4. Nonlinear Optics of Plasmas and Laser-Plasma Interactions 5. Relativistic HED Plasmas and Intense Beam Physics 6. Warm Dense Matter 7. High-Z, Multiply Ionized HED Atomic Physics 8. Diagnostics for HED Laboratory Plasmas Proposed research efforts can include experimental, theoretical, and/or computational science. Applications integrating experiments, theory, and simulation are encouraged. Grant applications are sought in the following subfields and crosscutting areas of HED laboratory plasmas, as described in the Report of the 2009 Workshop on Basic Research Needs for High-Energy-Density Laboratory Physics.

Cracking is a primary mode of distress in asphalt pavements. There are several modes of asphalt pavement cracking-thermal, reflection, fatigue, and top-down-and all are affected by numerous factors and their interactions. Recent research has evaluated a variety of laboratory tests and models to assess the cracking potential of asphalt mixtures and several are recommended for routine use. As asphalt mix designs become more complex with the use of asphalt modifiers, RAP and RAS, and warm mix asphalt technologies, highway engineers have recognized the need to establish and implement reliable performance tests that can be used to evaluate asphalt mixes and ultimately extend the life of asphalt pavements. NCHRP Project 09-57, "Experimental Design for Field Validation of Laboratory Tests to Assess Cracking Resistance of Asphalt Mixtures," developed experimental designs for the ruggedness testing and field validation of candidate laboratory tests to assess the resistance of asphalt mixtures to the four cracking types noted above. Candidate test methods were selected through (a) a critical review of relevant research and state mixture design practices and (b) a workshop with invited experts held in February 2015. The findings and conclusions of the project are summarized in NCHRP Research Results Digest 399: Field Validation of Laboratory Tests to Assess Cracking Resistance of Asphalt Mixtures: An Experimental Design; the contractor's final project report is available at http://onlinepubs.trb.org/onlinepubs/nchrp/docs/NCHRP09-57_FR.pdf. This project is the first in a series proposed to accomplish the field validation designed in Project 09-57. Research is needed to conduct ruggedness testing of the candidate test methods in anticipation of future field validation experiments.

The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets.  NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise, to develop improved survey methodologies for NCSES surveys, to create and improve indicators of S&T activities and resources, and strengthen methodologies to analyze and disseminate S&T statistical data. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, workshops, experimental research, survey research and data collection and dissemination projects under its program for Research on the Science and Technology Enterprise:  Statistics and Surveys.

In 2020, we are offering a series of research grants to stimulate innovative research in challenging areas of future importance. Grants of 100,000 EUR - 500,000 EUR per year for up to 3 years are availabe in the areas of  - Drug discovery  - Bioreactor design for cultured meat - Next generation machine learning - Pandemic preparedness / fighting new emerging viral infectious disease The research grants program is open to scientists in all career stages who are affiliated with any research-based institution, university or company. Applicants submit their application for the focus topics containing non-confidential information only. You may apply for more than one focus topic. If your application is successful, you will be invited to submit a full proposal and join a deep-dive workshop with the other finalists in 2020.   Submissions are accepted from scientists in all countries all over the world. 

The Hertz Fellowship provides financial and lifelong professional support for the nation's most promising graduate students in science and technology. The fellowship includes up to five years of funding, valued at up to $250,000, and the freedom to pursue innovative projects wherever they may lead. In addition, fellows take part in ongoing mentoring, symposia, and workshops with our vibrant community of more than 1200 fellows, a set of peers who span disciplines, generations, and geography.

The National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) announces the release of its annual NASA Research Announcement (NRA), Research Opportunities in Space and Earth Sciences (ROSES) - 2018. ROSES is an omnibus NRA, with many individual program elements, each with its own due dates and topics. All together these cover the wide range of basic and applied supporting research and technology in space and Earth sciences supported by SMD. Awards will be made as grants, cooperative agreements, contracts, and inter- or intra-agency transfers, depending on the nature of the work proposed, the proposing organization, and/or program requirements. The typical period of performance for an award is three years, but some programs may allow up to five years and others specify shorter periods. Organizations of every type, domestic and foreign, Government and private, for profit and not-for-profit, may submit proposals without restriction on teaming arrangements.