Internship opportunity for US undergraduate students at NSA conducting quantum machine learning research
Opportunity with the National Security Agency - United States Department of Defense
This summer, Senior Mathematician and Scientist Dr. Ryan Vogt seeks undergraduate students to work under his supervision at the NSA’s Future Computing Summer Internship (FCSI) program. The research will center on methodologies, he has designed for performing large-scale machine learning on theoretical quantum computers (quantum machine learning), by solving data driven optimal control of ODE/PDE.
There are five positions available, and one is looking to be filled with a talented NC State student. Applications are due by November 30, 2024.
Eligibility requirements for the internship
- Must be a U.S. citizen.
- 18 years or older at the time the internship begins.
- Must be currently enrolled full-time at an accredited U.S. institution as an undergraduate student at the time of applying.
- Undergraduate cumulative minimum grade point average (GPA) of 3.0 on a 4.0 scale.
- This internship is ideal for rising seniors, i.e. students graduating in Spring 2026.
- Consideration will be given to undergraduates graduating at a later date who have significant upper level coursework/experience in either math, computer science, computer engineering, or STEM related fields with strong math, and computer programming required for HPCs.
**NOTE: Students graduating in Spring 2025 or earlier are NOT eligible for the internship.**
For students to understand the the technical aspects of the project, Here is the report prepared by the 2024 students for Dr. Vogt’s quantum machine learning team’s activities. The focus of the group will remain quite similar, making this report a useful resource.
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