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Student | Teaching Assistant, Research, AI, Data Innovations, and New Technologies (RADIANT)
Description:
Imagine spending a summer at the University of Notre Dame, shaping the minds of the most accomplished, intellectually fearless, and mission-driven high school students in the country. This isn’t just an aspiration; it is the reality of being a RADIANT Teaching Assistant.
RADIANT (Research, AI, Data Innovation, and New Technologies) is one of six prestigious seminars within Notre Dame’s Leadership Seminars program—a 10-day, fully funded residential experience that draws elite applicants from across the globe. With tuition, housing, and meals covered by the University, the program attracts students who are deeply committed to being here. Consequently, the competition to earn a seat is extraordinary.
Meet Your Future Students:
The 2026 RADIANT cohort was selected from 634 applicants, resulting in an admission rate of under 5%. This makes it one of the most selective pre-college programs in the United States. Even within the flagship Leadership Seminars program—which received nearly 3,000 applications with an overall admission rate of 6.5%—RADIANT stands out for its exclusivity.
A Snapshot of the 2026 Cohort:
- Cohort Size: 30 Students
- Admission Rate: Under 5%
- Academic Standing: ~80% with SAT 1500+ / ACT 33+
- Geographic Diversity: 20+ States & 6 Countries represented
- International Presence: 20% International Students
- First-Gen Representation: 17% First-Generation College Students
Position Details:
- Program Dates: July 18–29, 2026 (10 days, residential)
- Undergraduate Option (Summer Internship): Approximately 8 weeks (June 1 – July 29, 2026). Includes preparation and program delivery.
- Graduate Student Option (Short-term Employment): Approximately 3 weeks (July 7–29, 2026). Includes preparation and program delivery.
- Location: University of Notre Dame, Notre Dame, Indiana (On-campus; residential for undergraduate interns if needed).
Qualifications:
- Current undergraduate or graduate ND, Saint Mary’s, Holy Cross students, or degree seeking students at other U.S. institutions
- Demonstrated proficiency in R, Python, or another data science language
- Familiarity with data visualization, statistical analysis, or machine learning concepts
- Genuine enthusiasm for working with high-achieving high school students
- Strong communication, mentoring, and interpersonal skills
- Ability to commit to the full program duration
Application Instructions:
Applicants should send a statement of their research interests, a curriculum vitae, anticipated start dates, and 2–3 confidential letters of recommendation via Intefolio Dossier.