When
Where
Fellowships buy you time and flexibility. They are also a great line to put on a CV—often more valuable than a standard RA/TA. This talk surveys the major graduate fellowships relevant to applied mathematics and statistics (e.g., NSF, DOE, Hertz, NDSEG) and the most common postdoctoral options (e.g., NSF Mathematical Sciences Postdoctoral Research Fellowships, national-lab and foundation fellowships). Aimed at both undergraduates and graduate students, we’ll cover what each program values, how eligibility and timelines work, and how selection committees read proposals from quantitative fields. The second half is tactical: framing a sharp research question, writing for mixed audiences, showing feasibility without overclaiming, weaving broader impacts that are authentic to math/stats (software, open data, reproducibility, education/outreach), and coordinating strong letters. You’ll leave with a clear map of the fellowship landscape and concrete writing plans for personal and research statements. Suitable for students across applied math, statistics, data science, and mathematics.
Zoom link: https://www.math.arizona.edu/~klin/rtg-zoom