- About OCNS
If you know of a funding program which should be added to this list, or have updated information on the programs listed here, please contact firstname.lastname@example.org.
NIH Funding opportunities
Training in Computational Neuroscience, From Biology to Model and Back Again. See http://grants.nih.gov/grants/guide/notice-files/NOT-DA-15-081.html for more details.
All active funding opportunities can be found under http://grants.nih.gov/grants/guide/search_results.htm?scope=pa&year=active
Human Frontier Science Program
Research grants are provided for teams of scientists from different countries who wish to combine their expertise in
The research teams must be international. The principal applicant must be from one of the eligible countries. However,
Two types of Research Grant are available: Young Investigators' Grants and Program Grants. For more details,
Deadlines: Applications will be made via the HFSP extranet website.
NSF Funding Opportunities
NIH Director's Pioneer and New Innovator Award Programs
Pioneer Awards provide $2.5 million in direct costs over 5 years and are open to scientists at any career stage. New Innovator Awards provide $1.5 million in direct costs over the same period and are for new investigators who have not received an NIH regular research (R01) or similar grant.
See https://commonfund.nih.gov/newinnovator/ for more details.
Joint NSF-NIH-DFG initiative: Collaborative Research in Computational Neuroscience (CRCNS)
The emphasis of this joined US-German initiative is on innovative interdisciplinary collaborative research between experimental neuroscientists and computational scientists to make significant advances in the understanding of nervous system function and mechanisms underlying nervous system disorders.
Detailed information can be found at http://www.nsf.gov/pubs/2011/nsf11505/nsf11505.htm
Trans-NIH initiative: Predictive Multiscale Models of the Physiome in Health and Disease (R01)
The emphasis of this initiative is on multiscale (>1 biological scales, e.g., genetic, cellular, systems, behavior), predictive computational modeling and models of health and disease states.
For more details, see http://grants.nih.gov/grants/guide/pa-files/PAR-11-203.html
NSF FACULTY EARLY CAREER DEVELOPMENT PROPOSALS
Guidance for the Computational Neuroscience Community
The NSF Faculty Early Career Development Program (CAREER) offers five-year awards for junior faculty for integrated research and educational activities. CAREER grantees may also be nominated for the Presidential Early Career Awards for Scientists and Engineers (PECASE). For further information about program goals, eligibility requirements, and merit review criteria, please visit http://www.nsf.gov/career.
As part of the application process, CAREER applicants need to select a "unit of consideration," the division and program area responsible for reviewing the proposal. Proposals in computational neuroscience will be reviewed primarily by two divisions of NSF:
The CAREER program accepts proposals in all research areas funded by NSF. Other closely related areas include cognitive neuroscience (SBE/BCS, Michael Smith, email@example.com), artificial neural networks and learning (ENG/ECS, Paul Werbos, firstname.lastname@example.org), biologically inspired computing and computational biology (CISE/CCF, Mitra Basu, email@example.com), mathematical biology (MPS/DMS, Mary Ann Horn, firstname.lastname@example.org), and bioinformatics (CISE/IIS, Sylvia Spengler, email@example.com
Each of these programs has its own specific interests and emphases. Please contact the listed program officers if you have questions about which program(s) are most appropriate for review or co-review of your proposal. See full announcement at http://www.nsf.gov/crssprgm/career/contacts.jsp
National Science Foundation (NSF)
The Major Research Instrumentation Program (MRI) is designed to increase access to scientific and engineering equipment for research and research training in our Nation's organizations of higher education, research museums, and non-profit research organizations. This program seeks to improve the quality and expand the scope of research and research training in science and engineering, and to foster the integration of research and education by providing instrumentation for research-intensive learning environments. The MRI program encourages the development and acquisition of research instrumentation for shared inter- and/or intra-organizational use and in concert with private sector partners.