Subject: Reminder - First NSF Grad Fellowship Info Session Today!!!
Description:
NATIONAL SCIENCE FOUNDATION GRADUATE FELLOWSHIP INFORMATION SESSIONS
ARE YOU PLANNING GRADUATE STUDIES TOWARD A PH.D. IN SCIENCE, MATH,
ENGINEERING, SOCIAL, OR BEHAVIORAL FIELDS?
The NSF Graduate Research Fellowship Program (NSF GRFP) is the largest and
one of the most prestigious awards available to support graduate studies
toward Ph.D.’s in science, math, engineering, and social/behavioral fields.
The NSF award provides 3 years of support, with an annual stipend of $34,000.
You can learn more about the NSF award at www.nsfgrfp.org
166 MARYLAND SENIORS, RECENT ALUMNI, AND GRADUATE STUDENTS HAVE WON NSF
GRADUATE FELLOWSHIPS IN THE PAST 5 YEARS!
IMPORTANT: Students may apply TWICE for the NSF GRFP - once before starting
graduate studies, and once during the first two years of graduate study. To
enhance your chance of success is it essential to apply at each opportunity.
We are offering three early NSF GRFP information sessions for students
planning to apply this Fall 2018 or in subsequent years. Current
undergraduates at all levels and recent alumni are welcome to attend, as are
those who will be first or second year graduate students in Fall 2018.
NSF Info Session 1:
Monday, April 9 - 4:45 pm to 6 pm
Plant Sciences Building - Room 1130
RSVP to [log in to unmask]
NSF Info Session 2:
Wednesday, April 11 - 4:45 to 6 pm
Plant Sciences Building - Room 1130
RSVP to [log in to unmask]
NSF Info Session 3:
Thursday, April 19 - 4:45 - 6 pm
Plant Sciences Building - Room 1130
RSVP to [log in to unmask]
Eligibility: You must be a US citizen or Permanent Resident to apply for the
NSF graduate research fellowship. You must be applying for graduate studies
in an NSF supported field.
Deadlines to apply will be in late October 2018 for NSF GRFP awards .
Planning early give you your best chance of success!
If you are interested but unable to attend either session please email us at:
[log in to unmask]
Contact Person: Francis DuVinage
Contact Email: [log in to unmask]
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