Research Fellowship

AIXI Labs is looking for a Research Fellow. AIXI Labs is a small, London-based non-profit doing AI safety research grounded in algorithmic information theory. The fellowship is a quarterly, rolling program for researchers who want to work on this agenda under the close mentorship of the core team. Fellows pursue a focused research project over roughly a quarter, and receive a monthly stipend plus a compute budget for machine-learning work.

• Pursue a self-directed research project aligned with the algorithmic-information-theoretic approach to AI safety, spanning anything from foundational theory to empirical tests with LLM-based agents
• Shape the direction of your project around your own strengths and interests — support is provided for a range of work within this framework
• Contribute papers, blog posts, or other written output that communicates results to the broader AI safety and ML research communities

• A research background at the level of a current PhD student. For primarily empirical projects, a master's-level command of the relevant mathematics paired with substantial industry or applied research experience can also qualify
• Solid grounding in probability, statistics, information theory, and reinforcement learning, sufficient to engage seriously with AIXI-style theoretical models. Prior expertise in algorithmic information theory or AIXI is not required
• Strong verbal and written communication skills
• Genuine motivation to reduce existential risk from advanced AI, and enthusiasm for the kind of work we do
• Preferred: Publications at top ML/AI/theory venues (e.g. NeurIPS, ICML, ICLR, ALT, COLT)
• Preferred: Background in algorithmic information theory, computability theory, learning theory, or related theoretical computer science
• Preferred: Experience fine-tuning, evaluating, or red-teaming LLM-based and/or RL agents
• Preferred: Prior engagement with the UAI/AIXI community or related fields

Click 'Apply now' on the AIXI Labs website, or email aebtekar@alumni.cmu.edu