AIXI Labs Research Fellowship

Quarterly research fellowship pursuing AI safety through algorithmic information theory and modern LLM agents.
- Conduct self-directed research project spanning foundational theory to empirical LLM and reinforcement learning work.
- Publish papers and written outputs communicating results to AI safety and ML research communities.
- Requires PhD-level research background or master's mathematics with substantial industry experience.
- Requires solid grounding in probability, statistics, information theory, and reinforcement learning.
- Mentorship from core team including Marcus Hutter; fully remote with compute budget provided.

AIXI Labs is an AI safety research nonprofit specializing in algorithmic information theoretic foundations of AI agents.