Opportunity type
Fellowship
Cause areas
AI safety & policy
Routes to impact
Skill-building & building career capital
Testing your fit for a certain career path
Direct high impact on an important cause
Networking with peers around AI governance topics
Learning about important cause areas
Skill set
Research
AI governance understanding
Collaborative problem-solving
Academia
Policy writing
Deadline
2026-05-03
Location
Remote with one-week in-person kick-off (Cambridge, UK implied)
Description
A part-time, hybrid AI safety research programme pairing early-career researchers with experienced mentors to produce published research across technical and governance streams.
- Flexible & part-time: Runs July–October 2026 with a 1-week in-person kick-off (Jul 13–19 or 20–26) followed by 8–10 weeks of remote research, compatible with concurrent studies or employment
- Fully funded: No cost to participants — CAISH covers travel, accommodation, meals, office space, a $2k+ compute budget, and Claude Max access
- Mentorship & support: Teams of 2–4 are paired with mentors from organisations like Redwood Research, Google DeepMind, RAND, and Anthropic, plus a dedicated research manager
- Publication-focused output: Expected deliverables include arXiv preprints, conference papers (past work accepted at NeurIPS), or LessWrong posts
Apply via the General Application (Stage 1 deadline: May 3, 2026); strong candidates are advanced to Stage 2 on a rolling basis before the final deadline.
No visa requirements are mentioned on the source page.
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