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NSF Mathematical Sciences Graduate Internship

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports summer research internships for doctoral students in the mathematical sciences. Internships are primarily at national laboratories and focus on introducing students to applications of mathematical or statistical theories outside of academia.

Supports summer research internships for doctoral students in the mathematical sciences. Internships are primarily at national laboratories and focus on introducing students to applications of mathematical or statistical theories outside of academia.

Synopsis

The National Science Foundation (NSF) Division of Mathematical Sciences (DMS) aims to provide opportunities to enrich the training of graduate doctoral students in the Mathematical Sciences through the provision of a NSF DMS funded summer research internship program. Towards this objective, DMS has partnered with the Oak Ridge Institute for Science and Education (ORISE) which is managed by Oak Ridge Associated Universities (ORAU) for the Department of Energy, to establish the NSF Mathematical Sciences Graduate Internship program.

The program aims to support approximately forty internships annually, primarily at the National Laboratories. The longer-term goals are to expand the program and to include private industries and nonprofit organizations as hosts. The program is intended to introduce doctoral students in mathematics to interesting applications of mathematical or statistical theories outside of academia. The internships are aimed at students who are interested in understanding the application of advanced mathematical and statistical techniques to "real world" problems, regardless of whether they plan to pursue an academic or nonacademic career.

The NSF Mathematical Sciences Graduate Internship program is expected to have significant benefits for several groups of stakeholders, including:

  • For all participating graduate students: Enhanced understanding of their research areas in a broader context.
  • For graduate students who pursue academic careers: Preparation to take mathematical inspiration from problems in disciplines outside of the mathematical sciences, allowing them to initiate development of new areas in mathematical sciences; preparation to serve as links in their future faculty appointments between academics and the business/industry/government/non-profit realm; and preparation to advise their future students on the full range of possible career paths that exist with training in the mathematical sciences.
  • For graduate students who pursue careers outside academics: Better preparation for, and knowledge of, a wide range of career paths in areas of business, industry, government, and non-profits where the mathematical sciences play increasingly important roles.
  • For faculty: Ph.D. interns who return to the academic setting with enhanced understanding of the research area in a broader context.
  • For academic departments: Enhanced ties to activities outside the university, and better career opportunities for graduate students.
  • For the mathematical sciences community: Demonstration of the impact of an enriched training for doctoral students generally.

Students in full-time enrollment as a graduate student at an accredited US college or university located in the US during the academic year preceding the internship will be considered. They should be pursuing a doctoral degree in the mathematical sciences and be able to provide two relevant letters of recommendation. These letters should address the student's academic record and potential for success in an internship, as indicated by communication and teamwork skills.

Further details and the application procedure are described at:

https://orise.orau.gov/nsf-msgi/

Annual application deadline: January 31

Program contacts

Leland M. Jameson
ljameson@nsf.gov (703) 292-4883
Christian Rosendal
crosenda@nsf.gov (703) 292 2571