Tag: Data Science

Michigan Space Grant Consortium graduate fellowship application support

The Graduate School is offering support services to assist graduate students in applying for the Michigan Space Grant Consortium’s Graduate Fellowship, including a workshop and one-on-one writing support.

MSGC’s Graduate Fellowship opportunity supports graduate students from affiliate
institutions who are conducting research and public service projects relevant to NASA’s strategic interests as expressed in NASA’s 2014 & 2018 Strategic Plans, specifically, research focused on aerospace, space science, and earth system science. Graduate students working in other, related science, technology, engineering, and mathematics fields are also eligible to apply. Starting this year, MSGC is piloting an expanded definition of STEM to include support for interdisciplinary projects that include art, so graduate students conducting research and projects relevant to NASA’s strategic interests in disciplines not traditionally considered STEM, such as the humanities or social sciences, are likewise encouraged to apply.

Fellowship recipients are awarded $5,000. To be eligible, applicants must be U.S. nationals, have a good academic record, and be in good academic standing. Women, under-represented minorities, and persons with disabilities are strongly encouraged to apply. Students currently receiving MSGC Fellowships are eligible to reapply.

Workshop information: Overview and tips from an MSGC Fellowship reviewer
Date and Time: Friday, September 17th, from 11:00 AM – 11:50 AM
Location: Admin 404
Presenter: Will Cantrell, Associate Provost and Dean of the Graduate School
Host: Sarah Isaacson, GLAS Program Director, sisaacso@mtu.edu
Register here: https://forms.gle/RSPYtUHVD6Yjimou6
A recording of the workshop will be available beginning September 21st.

Deadlines:
Wednesday, Nov. 3 at noon — Internal deadline for undergraduate and graduate fellowship proposals
Wednesday, Nov. 10 at 5 p.m. — Final materials, after review and approval by SPO, must be uploaded to MSGC by the applicant

For more information and specific application instructions, visit the MSGC website and the MTU Graduate School’s MSGC web page.


NSF Graduate Research Fellowship Program Application Support

The Graduate School is offering support services to assist graduate students in applying for the National Science Foundation’s Graduate Research Fellowship Program, including workshops and one-on-one writing support.  Fellowship recipients earn an annual stipend of $34,000.  To be eligible, applicants must be a U.S. citizen, national, or permanent resident, have never previously applied to GRFP while enrolled in a graduate degree program, have never earned a master’s or professional degree in any field, or completed more than one academic year in a graduate degree-granting program.  Applications are due October 18th – 22nd.  See https://www.nsfgrfp.org/ for full benefits and eligibility details.

Workshop 1: Overview and tips from a former NSF program manager and reviewer
Date and Time: Friday, September 3rd, from 9:00 AM to 10:30 AM
Presenter: Dr. Pushpalatha Murthy, former NSF program manager
Co-hosts: Dr. Debra Charlesworth, former NSF GRFP reviewer, and Sarah Isaacson, NSF GRFP Support Coordinator
Zoom meeting link: Please make sure to sign in with your MTU account before joining the meeting to be admitted.
Join from PC, Mac, Linux, iOS or Android: https://michigantech.zoom.us/j/83018958000

Workshop 2: Crafting your statements: Content and organization
Date and Time: Friday, September 10th, from 10:00 AM to 11:30 AM
Presenter: Sarah Isaacson, NSF GRFP Support Coordinator
Zoom meeting link: Please make sure to sign in with your MTU account before joining the meeting to be admitted.
Join from PC, Mac, Linux, iOS or Android: https://michigantech.zoom.us/j/82410509516

Personalized writing support:
Applicants will receive support via an NSF GRFP Canvas course as well as individualized writing support on application drafts from qualified staff members.

See https://www.nsfgrfp.org/ for more details. Questions? Contact Sarah Isaacson, NSF GRFP Support Coordinator: sisaacso@mtu.edu


Winter 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
  • Boston
  • Washington, DC.

Dates: All sections will be from 2020-01-13 to 2020-03-06.

Application Link: https://www.thedataincubator.com/fellowship.html#apply?ref=wbWpzdGV2ZW5AbXR1LmVkdQo=

Early Deadline: 2019-10-14.
Regular Deadline: 2019-10-21.
We are assessing and interviewing candidates who apply for the Early Deadline first and then based on remaining availability, will take candidates who applied for the Regular Deadline on a first-come first-serve basis.

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.


Fall 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
  • Boston
  • Washington, DC.


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.