Program Snapshot
What students should know
- Access model
- Paid federal research assistantship
- Eligible students
- HS junior/senior; age 16+; U.S. citizen; GPA 3.5+
- Current grade eligibility
- 11th, 12th
- Geographic eligibility
- Dayton/Wright-Patterson area
- Research experience
- Authentic mentored research / internship
- Mentor / professional exposure
- Scientists / engineers / faculty
- Computational component
- Varies
- Health-sciences focus
- Not primary
- Tuition / fee
- $0
- Stipend / compensation
- Paid full-time
- Housing / travel
- Housing/food/transport self-arranged
2027 Cycle
Dates and application status
- Application opens
- November 1, 2026
- Application deadline
- January 10, 2027
- Program starts
- Not yet published
- Program ends
- Not yet published
Refresh status: 2026/current baseline; 2027 cycle refresh required
Editorial Assessment
How the score is calculated
Version 1.0Curriculum Design & STEM Experience23/25
Academic / Research Quality18/20
Selectivity & Merit-Based Access14/15
Mentorship & Alumni Network13/15
Track Record & Institutional Stability14/15
Financial Accessibility10/10
Rankings cannot be purchased. Sponsorship or advertising does not affect program scores.
Alumni Experience
What verified alumni report
0 verified reviewsAlumni VerdictNot yet rated0 of 5 verified reviews required
Would recommend—Shown once Alumni Verdict is established
Confidence threshold0/20High Confidence begins at 20 verified reviews
Evidence
Sources supporting this profile
2 sourcesOfficialOfficial
Verified September 17, 2026master_record
Official source validated; cycle-specific 2027 refresh tracked separately
View source ↗OfficialOfficial
Verified September 17, 2026validated_evidence
Cycle/status: 2026 official | Cost: Free | Compensation: Paid full-time | Duration: 8 weeks | Eligibility/geography: HS junior/senior; U.S. citizen; age 16+; GPA 3.5+ | Curriculum/research: Mentored AFRL research project plus workshops/lectures/tours; project presentation | Track record/alumni: Longstanding AFRL program with competitive blind-review selection
View source ↗