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CS Deadline: 3/25/2019 by 11:59 pm TBD
External Deadline:  (4/30/20192020)

ACM SIGHPC/Intel Computational & Data Science Fellowship (Spring 2019)

ACM SIGHPC and Intel have partnered to create Computational and Data Science Fellowships, a 5-year program to increase the diversity of students pursuing graduate degrees in data science and computational science. Specifically targeted at women or students from racial/ethnic backgrounds that have not traditionally participated in the computing field, the program is open to students pursuing degrees at institutions anywhere in the world.

See: http://www.sighpc.org/fellowships
http https://www.sighpc.org/for-your-career/computational-data-science-fellowships/how-to-nominate
https://www.sighpc.org/for-your-career/computational-data-science-fellowships/sample-forms

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titleEligibility

To be considered for an ACM SIGHPC / Intel Computational & Data Science Fellowship, a nomination must meet the following requirements:

  • The candidate must be:
    • Currently enrolled in a graduate program or accepted to begin in one no later than October 15 of this year
    • Pursuing a research-based graduate degree – Master’s, PhD, or equivalent – in computational or data science (although the formal name of the program may be somewhat different; see main webpage for examples)
    • Less than halfway through her/his planned program of study (with preference given to students who are still early in their studies)
    • A woman and/or a member of a racial/ethnic group that is currently underrepresented in the computing field in the country where the student will earn the degree
  • The nominator must be the candidate’s current graduate advisor (or if the student is not yet enrolled, must have agreed to take on advising responsibility when the student arrives)
  • The nominator must coordinate with the head of the academic department to ensure only one current/future student from that department is being nominated
  • The candidate must provide up-to-date contact information for an endorser who is a current or former instructor, project supervisor, or employer who has personal knowledge of the student’s past accomplishments
  • The nominator, candidate, and endorser must each submit their required materials (in sequence) using SIGHPC’s online nomination system, prior to the deadline

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