Program Overview
- 12-18 month fellows-in-residence program for recent PhD graduates in AI and computer science.
- Split time between supporting the AI Institute and pursuing specific research projects aligned with Institute priorities.
- Up to four fellows to be hired in 2026.
Research Domains
- AI agent inter-operability and emerging communication in multi-agent systems.
- AI for scientific discovery.
- Hardware-enabled verification of AI agreements.
- AI's impact on the labor market.
Fellowship Details
- Fellows propose specific projects related to AI Institute goals.
- Projects must be completed during the fellowship.
- Each fellow will have access to up to $50,000 in compute and API credits.
- Opportunity to apply for up to $50,000 funding for convenings, workshops, or working sessions.
- Travel funds are available for collaboration.
- Access to Schmidt Science's AI ecosystem network.
Location and Reporting
- Fellows based at offices in New York City with allowance to spend time at local universities.
- Reporting to the Director of the AI Institute at Schmidt Sciences with assigned mentor for onboarding.
- Fellows may retain existing academic appointments if compliant with policies.
Selection Criteria
- Based on academic accomplishments, publications, relevance of research to AI Institute priorities, and quality of proposed research projects.
- Interviews conducted by Schmidt Sciences, applications reviewed on a rolling basis.
Examples of Potential Projects
- Scoping and possibly launching grantmaking programs in AI domains of interest.
- Conducting AI research for technical paper publication.
- Organizing workshops or advising on smaller grants to build research communities.
- Starting or contributing to AI open source projects.
Supporting AI Institute
- Reading and assessing research proposals.
- Supporting design of new AI grantmaking programs in interpretability, safety, scientific discovery.
- Attending gatherings and representing Schmidt Sciences at conferences.
Subject Matter Expertise Priorities
- AI agent interoperability and emergent communication in multi-agent systems.
- AI for scientific discovery.
- Hardware-enabled verification of AI agreements.
- AIโs impact on the labor market.
