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Limited Submission Opportunities

Limited Submission Selection Process

Limited submission funding opportunities restrict institutions like BYU to a limited number of proposal submittals (typically one) for a particular funding opportunity. Here is the process for identifying and selecting limited submissions proposals that can be submitted by BYU:

1. Limited submissions opportunities are identified from: 1) external funders contacting the university, 2) Research Development describing opportunities through bulletins, emails and the Research Development website or 3) faculty finding opportunities.

2. Faculty indicate their intent to propose for a particular limited submission opportunity by contacting either their Associate Dean for Research or Research Development (Contact Kristen Kellems,

3. If there are too many faculty wanting to submit proposals for a particular opportunity, the associate research deans will select the faculty or group who can submit. The selection will be made using a set of criteria to evaluate the likelihood of success for each proposal.

4. Those who are not selected will be encouraged to work with Research Development to find alternative sources of funding for their proposals.

Limited Submission Opportunities

National Science Foundation Research Traineeship Program (NRT)

The NSF Research Traineeship (NRT) program is designed to encourage the development and implementation of bold, new, and potentially transformative models for STEM graduate education training. The NRT program seeks proposals that ensure that graduate students in research-based master’s and doctoral degree programs develop the skills, knowledge, and competencies needed to pursue a range of STEM careers. Major Research Instrumentation Program (MRI)
The Major Research Instrumentation Program (MRI) serves to increase access to shared scientific and engineering instruments for research and research training in our Nation’s institutions of higher education, not-for-profit museums, science centers and scientific/engineering research organizations.
Pre-Proposals Process 

Since this is a limited submission opportunity that usually attracts the interest of several faculty, the Associate Deans for Research will select the faculty to submit proposals (3 are allowed, 2 for $100K - $1M, 1 for $1M-$4M). If you are interested, please fill out the one page summary of your proposal by November 8 and send to Kristen Kellems at and the Associate Dean of Research for your college. The selection of pre-proposals for writing a full proposal will be done by November 15. Proposals can be submitted to the NSF January 1- January 21, 2021. The one page summary must include:

  • Name of Principal Investigator and Co-Principal Investigators
  • Names of all other faculty at the university who would benefit from the equipment
  • Cost of the equipment, including the purchase price, ongoing maintenance costs, training, etc.
  • Planned or potential instructional applications of the equipment
  • Description of what the equipment does, in terms understandable to a general technical audience
  • What related devices already exist on campus and what additional functionality would the proposed device allow?
  • How much would the proposed device be used?
  • NSF track record of the proposing team members

Please email Kristen Kellems at with any questions.

Department of Energy Basic Energy Sciences (BES) Program
The DOE BES program seeks new applications that will take advantage of the rapid growth of data science, including artificial intelligence (AI) and machine learning (ML) methodologies. The focus of the proposed research must be on science-based, data-driven approaches enabling solutions for fundamental basic energy sciences challenges not possible otherwise. The goal of the application should be to integrate novel data science, uncertainty quantification, and other AI and ML approaches with domain sciences to uniquely advance the understanding of fundamental properties and processes relevant to chemical and materials systems, and achieve predictability of functions and behavior under dynamic conditions.

If you are interested in a Limited Submission Opportunity not listed above, please contact RDADMIN@BYU.EDU