The opportunity
Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning…
What you'll do
A place in a small pod of Fellows working on related problems in your domain.: Your pod meets weekly with Anthropic researchers to share methods, pressure-test ideas, and build on each other's work.
A grand challenge at the frontier of your field: an ambitious, open-ended problem scoped with our research team so you can make real progress in four months.
Access to frontier Claude models and internal evaluation tooling.
Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like.
Building comprehensive datasets, simulations and rigorous, hard-to-game: evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they're confidently wrong.
Applying Claude to open problems in your domain, using test-time compute: strategies and integrating the scientific tools and software your field relies on.
What they're looking for
- Are excited about the potential for AI to reason well about hard questions in: their field where expert judgment matters.
- Hands-on experience using Claude and Claude Code in your day-to-day workflow.
- Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty).
- Are comfortable working in a fast-paced, high-agency atmosphere for a few: months and delivering concrete results.