HDRFS Data Analytics Research Internship

2026 Call for Faculty Project Proposals

The Education and Workforce Development team of HDRFS is now welcoming faculty project proposals to request funding for an undergraduate student as part of the HDRFS Data Analytics Research Internship program. This program supports a research intern to advance faculty research using students’ newly-minted data analytics skills for the spring semester of 2027.

We welcome projects from any discipline that involve skills in data analytics – from data cleaning and organizing (spreadsheets and dashboards) to the use of SQL and Python. Students will be selected from a cohort of students who are currently completing SQL, Python, or spreadsheets/dashboards training. For a detailed document with more information on eligibility, project submission, and submission date, please see the attachment.

These internships are funded through Harnessing the Data Revolution for Fire Science (HDRFS), an NSF EPSCoR-funded project to increase Nevada’s capacity for wildland fire research, education, and workforce development.

Summary:

What: Apply for a scholarship-funded research intern to support a research project
Application deadline: September 11, 2026
Internship Dates: Spring semester 2027
Funding: $4,000 for student scholarships and $750 for faculty materials and supplies
Eligibility: Open to all NSHE faculty members and faculty/graduate student pairs. Graduate students may serve as internship mentors with support of a faculty advisor.
Who: Students will be selected from those completing the Data Analytics Certification Training hosted by NCLab through Truckee Meadows Community College.
Submit proposals via email to: Ilaria Vinci (ivinci@unr.edu)

You may be paired with students from a different NSHE institution, involving remote work. GRAs and postdocs are welcome to serve as mentors in coordination with faculty advisors.

This is a great opportunity to enhance your research while contributing to the development of future data analytics professionals. If you have any, feel free to respond with questions.

For questions, please contact Ilaria Vinci (ivinci@unr.edu) or Gabrielle Boisrame (Gabrielle.Boisrame@dri.edu).

Call for Proposals

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System Sponsored Programs & EPSCoR

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Las Vegas, NV 89119

Acknowledgement: This material is based upon work supported by the National Science Foundation under Grant No. OIA- 2148788.

Disclaimer: Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.