Anthropic has announced the launch of the Anthropic STEM Fellows Program, aimed at integrating experts from science and engineering to collaborate with their research teams on projects over a few months. This initiative aligns with Anthropic’s mission to develop reliable and beneficial AI systems, leveraging advancements from their latest Claude models that enhance design collaboration and agentic coordination for applications in these fields. The program seeks fellows who are passionate about the role of AI in accelerating scientific discovery and will run from June 15 to September 15, 2026, with applications accepted until May 15, 2026.

Claude: Claude is Anthropic’s family of frontier AI models excelling in reasoning, coding, and multimodal tasks with strong safety alignments. Recent 2026 updates include agentic features, design tools, and enhancements for professional workflows like coding and collaboration. The STEM Fellows Program leverages frontier Claude models and internal tooling for fellows to tackle scientific evaluations, data creation, and real-world applications in their fields.
Anthropic: Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems to ensure they are safe and beneficial for society. In recent months, they have rapidly advanced their offerings with new Claude model releases and specialized tools like Claude Design for collaborative prototyping. They are launching the STEM Fellows Program to collaborate with science and engineering experts on projects that evaluate and improve Claude’s capabilities in those domains.

Model Innovation: Anthropic’s latest Claude releases introduce capabilities like design collaboration and agentic coordination, boosting applications in engineering and science.
Talent Engagement: Anthropic runs multiple fellows programs to integrate domain experts and promising talent into their AI development ecosystem.
Research Collaboration: Anthropic emphasizes empirical AI research akin to physics and biology, fostering team efforts on high-impact projects toward trustworthy AI.