Application

Participant Benefits and Requirements

• Quarterly Professional Development Workshops
  • Research
  • Teaching
  • Entrepreneurship
  • Leadership & Administration
• Engagement with Affinity Mentors from Universities throughout the US
• Engagement with Peers and Faculty at Rice, TSU, and UH
• A Minimum of $2,500 per Year Paid Development Opportunities
  • $1,500 Travel Award*
  • $1,000 Stipend for Teaching Practicum

Eligibility Requirements

• STEM Ph.D. Candidate** or Postdoctoral Scholar at Rice University, Texas Southern University, or University of Houston
• Research in Data Engineering/Science (DES)***
• Interest in Faculty Career
• United States citizen, national, or permanent resident of the United States****

Application Process

STEP 1:

• Attend/access the Applicant Info Session (via Zoom) on APRIL 7, 2021 AT 12 NOON CDT
• Complete the Step 1 Application OPEN UNTIL ALL SLOTS ARE FILLED
  • These will be screened and those who are eligible for the program will be contacted regarding next steps.

STEP 2:

• Eligible Step 1 applicants will receive a link to the Step 2 application via email.
• Request two references (using the forms provided; there is a different form for each)
  • Current Doctoral Advisor or Postdoctoral Sponsor/Supervisor Reference Form
  • Non-Advisor/Sponsor Faculty Reference Form

Appilicant Info Session

The recording of our April 7 information session is available on our AGEP STRIDES YouTube channel.

Notes

*Each STRIDES Scholar will receive travel support in the amount of up to $1,500 to present one paper at a conference during the last two years of their program/appointment. Additional funding to attend conferences, workshops, trainings for professional development is also available.

**Ph.D. applicants must be dissertators (i.e., at the “all but dissertation” phase of their program) by their initial semester of engagement as a STRIDES Scholar.

***Data science is an interdisciplinary field focused on developing scientific methods, processes, and systems to extract knowledge from complex data sets in various forms. Data engineering is the process of preparing data infrastructure to be used by data scientists. The primary disciplines of focus are electrical & computer engineering, computer science, computational and applied mathematics, and statistics; however, because of the wide variety of disciplines that have research applications in DES, we will also accept applicants who are engaged in DES research in other engineering and science disciplines.

**** Per NSF requirements: “… all project participants must be United States citizens, nationals, or permanent residents of the United States. The term ‘national’ designates a native resident of a commonwealth or territory of the United States, such as American Samoa, Guam, the Commonwealth of Puerto Rico, the United States Virgin Islands, or the Commonwealth of the Northern Mariana Islands. It does not refer to a citizen of another country who has applied for United States citizenship and who has not received U.S. citizenship.”