The Colleges of Science and Engineering are piloting a semester-long graduate fellowship program to facilitate disciplinary integration with artificial intelligence. The Spring 2025 cohort seeks 6-8 ambitious PhD students. The program welcomes both disciplinary researchers looking for support to incorporate AI methods into their work and AI researchers aiming to deepen their impact in specific scientific domains.
Program Benefits:
- Full financial support for the Spring 2025 semester
- Pairing with faculty and technical staff mentors
- Access to dedicated computational resources
- Weekly technical training and office hours
- Participation in affiliated seminars, networking events, and workshops.
Fellows will develop concrete deliverables such as trained models, custom datasets, automated workflows, or other domain-specific AI integrations aligned with their dissertation research. The program includes structured weekly activities combining individual project work, technical training, and community engagement.
Eligibility & Application Requirements:
- PhD student in College of Science or College of Engineering
- No required PhD exams or coursework during the fellowship semester
- At least one year remaining in doctoral program after fellowship
- Good academic standing
- Application materials:
- Project proposal (2 pages max; use template in the application link)
- Current CV
- Advisor information (recommendations will be solicited for competitive applications)
Application deadline: 12/13/24
With questions, contact Brett Savoie.