AIXI Labs Research Fellowship 2026

AIXI Labs offers a quarterly, fully remote research fellowship for AI safety researchers who want to work on algorithmic-information-theoretic approaches under close mentorship.

What it offers

• Monthly stipend of £2,000 – £3,500
• Compute budget for machine-learning work
• Duration: roughly a quarter
• Fully remote; work from anywhere in the world or from AIXI Labs’ London base
• In exceptional cases, fellowships may be renewed

Who can apply

• Minimum qualifications:

  • A research background at the level of a current PhD student
  • For primarily empirical projects, a master’s-level command of the relevant mathematics plus substantial industry or applied research experience
  • Solid grounding in probability, statistics, information theory, and reinforcement learning
  • Strong verbal and written communication skills
  • Genuine motivation to reduce existential risk from advanced AI

• Preferred qualifications:

  • Publications at top ML/AI/theory venues (e.g., NeurIPS, ICML, ICLR, ALT, COLT)
  • Background in algorithmic information theory, computability theory, learning theory, or related theoretical computer science
  • Experience fine-tuning, evaluating, or red-teaming LLM-based and/or RL agents
  • Prior engagement with the UAI/AIXI community or related fields

What you'll do

• Pursue a self-directed research project aligned with AIXI Labs’ algorithmic-information-theoretic approach to AI safety
• Shape the direction of your project around your own strengths and interests
• Contribute papers, blog posts, or other written output to communicate results to the broader AI safety and ML research communities

How to apply

• Apply now via the provided link; applications are reviewed on a rolling basis and previous applicants remain eligible for later rounds