Tag Archives: Data Science

Summer Data Science Fellowship Opportunity

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Seattle
  • Boston
  • Washington, DC.

Dates: All sections will be from 2018-06-18 to 2018-08-10.

Application Link: https://www.thedataincubator.com/fellowship.html#apply?ref=wcGtreWxsb25AbXR1LmVkdQ==

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.


The King-Chávez-Parks Future Faculty Fellowship Program

The King-Chávez-Parks Future Faculty Fellowship Program is to increase the pool of traditionally underrepresented candidates pursuing faculty teaching careers in post-secondary education.

Spring 2017 Recipients

Rhetoric, Theory and Culture
Sara Potter

Fall 2016 Recipients

Data Science
Karen Colbert

Environmental and Energy Policy
Marie Richards 3

Marie Richards

Spring 2016 Recipients

Geology
Christine Torres Rosa

Fall 2015 Recipients

Applied Cognitive Science and Human Factors

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Amber Kemppainen

 

 

Biological Sciences

Fonkoue-Ida

 

Ida Fonkoue

 

 

 

Forest Science

Rogers-Joanna

 

Joanna Rogers


New Fellowship Opportunity for Data Science Grads

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.

Submissions close: April 30
Winners announced: by July 31

To qualify for a Computational & Data Science Fellowship, a student must be:

  • Either currently enrolled in a graduate program or accepted to begin in one no later than October 15
  • Pursuing a graduate degree – Master’s, PhD, or equivalent – in computational or data science (although the formal name of the program may be somewhat different)
  • Completed less than half of 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 Computational & Data Science Fellowships are made possible by a generous donation from Intel.

Questions?  See how to nominate and the FAQs (frequently asked questions) for more information.