Programme Thesis
The NSF Computational Mathematics program funds foundational mathematical and statistical research that advances computational methods for solving complex scientific and engineering problems. It exists to support innovative theoretical and algorithmic developments that enable new discoveries across disciplines, with an emphasis on rigorous mathematical analysis and computational efficiency.
Selection Criteria
- Intellectual Merit: novelty, potential to advance knowledge, and methodological rigor of the proposed research.
- Broader Impacts: benefits to society, education, diversity, and dissemination beyond academia.
- PI qualifications and track record: evidence of independent research capability, publications, and relevant skills.
- Feasibility: clear research plan, realistic timeline, and appropriate computational resources.
- Alignment with program goals: focus on computational mathematics, not purely domain-specific applications.
Past Winners / Cohort Profiles
Typical awardees are early-career faculty, postdoctoral researchers, or advanced graduate students at U.S. institutions, often with strong mathematical backgrounds and publications in top journals. Named examples are not provided on the page, but past winners include researchers working on numerical analysis, stochastic modeling, optimization, and machine learning theory.
Ideal Candidate Fingerprint
A mathematically rigorous researcher with a PhD in mathematics, applied mathematics, or a closely related field, who proposes novel computational algorithms or theoretical frameworks with clear mathematical foundations. The ideal applicant has a strong publication record in computational mathematics, experience with high-performance computing, and a compelling broader impacts plan.
Recommended Framing
Eniola should frame the CCT model as a novel computational framework that integrates ODE/RK45 numerical methods, Bayesian MCMC inference, and topological data analysis to solve a fundamental problem in reward-memory encoding. Emphasize the mathematical innovations (super-additivity, encoding probability reduction) and the broader impact on addiction treatment, while highlighting independent research productivity and collaborations with leading neuroscientists.
Watch Out
The program typically requires U.S. institutional affiliation or eligibility for NSF funding; as an independent researcher in Nigeria without a U.S. host institution, Eniola may not be eligible. Additionally, the program expects a PhD or equivalent experience; Eniola holds a B.Pharm and is not yet enrolled in a graduate program, which could be a disadvantage. The deadline is 12/01/2026, so time is available to secure a U.S. collaborator or host.