Research Training Groups in the Mathematical Sciences
U.S. National Science Foundation · Other Federal · 24-570
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- $400K – $600K
- DeadlineFinal application due date.
- Aug 11, 2026
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- —
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- 10
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Unknown
- Open dateWhen applications open (or opened).
- May 3, 2024
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $12M total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Unspecified
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
The long-range goal of the Research Training Groups in the Mathematical Sciences (RTG) program is to strengthen the nation's scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences, be they in academia, government, or industry. The RTG program supports efforts to improve graduate student research training and professional development through structured groups pursuing collaborative research. In addition to graduate student trainees working with faculty members, RTG supported research teams may, but are not required to, include undergraduate or postdoctoral trainees. The RTG program invites submissions in all fields within mathematical sciences; especially encouraged in 2024-2025 are those that align and integrate research in mathematics and statistics with emerging areas such asArtificial Intelligence, Biotechnology,Quantum Computing, and Cybersecurity.