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Division of Mathematical Sciences

Workforce Program in the Mathematical Sciences

Name Email Phone Room
Victor  Roytburd (703) 292-8584  1025 N  
Kevin  Clancey (703) 292-4870  1025 N  
Stafaan  De Winter (703) 292-2599   
J. Matthew  Douglass (703) 292-2467   
Matthias  Gobbert (703) 292-8718   
Timothy  Hodges (703) 292-2113  1025 N  
Thomas  A. Ivey (703) 292-2858   
Leland  M. Jameson (703) 292-4883   
Holmer  Justin (703) 292-8213   
Joanna  Kania-Bartoszynska (703) 292-4881   
Anatoly  Libgober (703) 292-4777   
Swatee  Naik (703) 292-4876  1025 N  
Andrew  D. Pollington (703) 292-4878  1025 N  
Yong  Zeng (703) 292-2301  1025 N  


The aim of the DMS Workforce Program is to increase the number of well-prepared U.S. citizens, nationals, and permanent residents who successfully pursue careers in the mathematical sciences and in other professions in which expertise in the mathematical sciences plays an increasingly important role. Each project supported by the DMS Workforce Program includes, as a core component, research in the mathematical sciences conducted by trainees.

The DMS Workforce Program comprises the following four program solicitations. 

  1. Mathematical Sciences Postdoctoral Research Fellowships (MSPRF)
  2. Enriched Doctoral Training in the Mathematical Sciences (EDT)
  3. Research Experiences for Undergraduates (REU) Sites
  4. Research Training Groups in the Mathematical Sciences (RTG)

The purpose of the Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) program is to support future leaders in mathematics and statistics by facilitating their participation in postdoctoral research environments that will have maximal impact on their future scientific development. The Fellowships are awards to individuals, and applications are submitted directly by the applicant to the NSF. The Fellow affiliates with a host institution during the entire tenure of the fellowship and works with a sponsoring scientist who provides mentoring and guidance for the research project conducted by the applicant.

The Enriched Doctoral Training in the Mathematical Sciences (EDT) program supports efforts to train doctoral students in the mathematical sciences who will be well-equipped to recognize opportunities for the development of mathematics and statistics in problems from other disciplines, and who can effectively apply advanced mathematics and statistics to solve problems originating outside the traditional academic mathematical sciences setting. The program supports projects that include training in areas supplementary to the dissertation research theme and that are instrumental for connections with business, industry, government, and the non-profit sector, such as internships, interdisciplinary research projects, and consulting. EDT projects train students to work in teams to refine, attack, and solve problems that are open-ended, not initially sharply formulated, and originate outside the academic mathematical realm. Activities supported by EDT aim to prepare doctoral students for a broader range of mathematical opportunities and career paths than has been traditional in U.S. mathematics doctoral training. The collection of EDT projects is intended to benefit students whose dissertation topics lie in all sub-fields of the mathematical sciences.

The Research Experiences for Undergraduates (REU) program is centered on the belief that research experience is one of the most effective avenues for attracting students to and retaining students in science and engineering, and for preparing them for careers in these fields. The REU Sites program aims to provide appropriate and valuable educational experiences for cohorts of undergraduate students through active participation in research projects with coherent intellectual themes. REU Sites projects feature high-quality interaction of groups of students with faculty and/or other research mentors and access to appropriate facilities and professional development opportunities.

The MSPRF, EDT, and REU Sites programs support enhanced training through research involvement at the postdoctoral, doctoral, and undergraduate levels, respectively. In contrast, the Research Training Groups (RTG) program spans all these levels of trainee seniority. The RTG program supports efforts to improve research training by involving undergraduate students, graduate students, postdoctoral associates, and faculty members in structured research groups centered on a common research theme. Projects supported by the RTG program are based on the research group model and necessarily include vertically-integrated activities that span the entire spectrum of educational levels from undergraduates through postdoctoral associates.

Please note that the deadline dates for submission of proposals in response to these specific solicitations vary and are posted on their respective program pages.

Unsolicited proposals that support the aim of the DMS Workforce program and that include, as a core component, research in the mathematical sciences conducted by trainees, should be submitted to the Mathematical Sciences Infrastructure Program.