AIXI Labs Research Fellowship 2026 Remote AI Safety Research, £3,500 Stipend
Join Our WhatsApp Channel for Latest UpdatesAIXI Labs Research Fellowship 2026 | Remote AI Safety Research with £3,500 Monthly Stipend
Remote research fellowship in AI safety, algorithmic information theory, and reinforcement learning with £2,000-£3,500 monthly stipend
Complete guide to eligibility, research areas, benefits, and application process
Quick Highlights
| Parameter | Details |
|---|---|
| Organisation | AIXI Labs |
| Fellowship | AI Safety Research Fellowship |
| Stipend | £2,000-£3,500 per month |
| Format | Remote (or London-based) |
| Focus | AI safety, algorithmic information theory, reinforcement learning, intelligent agent systems |
| Eligibility | PhD-level researchers, ML scientists, computer science researchers |
| Mentorship | Marcus Hutter, Cole Wyeth, Aram Ebtekar |
| Application | Rolling basis |
| Official Website |
Opportunity Overview
| Field | Details |
|---|---|
| Host Organisation | AIXI Labs |
| Opportunity Category | Research Fellowship |
| Location | Remote (or London, UK) |
| Application Mode | Online |
| Official Language | English |
About the Organisation
AIXI Labs is a London-based non-profit research organisation focused on advancing AI safety through the foundations of algorithmic information theory. The organisation works on developing methods that are both mathematically rigorous and practical enough to support meaningful safety analysis.
The organisation’s research agenda is inspired by AIXI, a theoretical model of unbounded artificial superintelligence, and explores how these concepts can inform the development of safer and more reliable AI agents.
About the Fellowship
The AIXI Labs Research Fellowship is a quarterly, rolling programme supporting researchers who want to contribute to AI safety research through theoretical and empirical approaches. Fellows typically undertake a focused research project over approximately one quarter while receiving close mentorship from the AIXI Labs research team.
Research Areas
| Topic | Details |
|---|---|
| Theoretical Foundations | Intelligent agents |
| Algorithmic Information Theory | Information-theoretic approaches |
| Reinforcement Learning | Advanced RL methods |
| AI Safety Methodologies | Safety frameworks |
| LLM-Based Agent Evaluation | Evaluating large language models |
| Empirical Testing | Advanced AI systems testing |
Fellowship Benefits
| Benefit | Details |
|---|---|
| Monthly Stipend | £2,000-£3,500 |
| Compute Budget | For machine learning research |
| Mentorship | Close guidance from AI safety researchers |
| Publication | Papers, technical blogs, research communications |
| Network | Global AI safety research network |
Mentorship Team
| Name | Role |
|---|---|
| Cole Wyeth | Founder and Executive Director |
| Marcus Hutter | Research Director |
| Aram Ebtekar | Founding Research Scientist |
Research Responsibilities
| Responsibility | Details |
|---|---|
| Independent Research | Develop and conduct an independent research project |
| Theoretical/ Empirical | Explore questions related to intelligent agents |
| Experiments | Conduct experiments with LLM-based agents or RL systems |
| Outputs | Academic papers, technical reports, blog articles |
Minimum Qualifications
| Criterion | Details |
|---|---|
| Research Background | Equivalent to a current PhD student |
| Alternative | Master's-level understanding of relevant mathematics + significant industry/applied research experience |
| Mathematics | Strong understanding of probability, statistics, information theory |
| Reinforcement Learning | Understanding of RL |
| Communication | Strong written and verbal skills |
| Interest | Reducing existential risks from advanced AI |
Preferred Qualifications
| Experience | Details |
|---|---|
| Publications | NeurIPS, ICML, ICLR, ALT, COLT |
| Background | Algorithmic information theory, computability theory, learning theory, theoretical computer science |
| Experience | Fine-tuning LLMs, evaluating AI agents, red-teaming, RL agents |
Who Should Apply
| Category | Suitable |
|---|---|
| PhD Researchers | Yes |
| Machine Learning Scientists | Yes |
| Computer Science Researchers | Yes |
| AI Safety Researchers | Yes |
| Reinforcement Learning Specialists | Yes |
| Theoretical Computer Scientists | Yes |
Application Process
| Step | Action |
|---|---|
| 1 | Submit through the AIXI Labs application portal |
| 2 | Demonstrate research background and expertise |
| 3 | Show relevant technical skills |
| 4 | Articulate motivation for AI safety research |
| 5 | Propose areas of interest |
| 6 | Applications reviewed on a rolling basis |
Important Links
| Description | Official URL |
|---|---|
| Apply Now | https://www.aixi.uk/team/opportunities/aixi-labs-fellowship/ |
| Official Website |
Why You Should Apply
Financial Support: Monthly stipend £2,000-£3,500.
Expert Mentorship: Work with leading AI researchers.
Research Flexibility: Self-directed research projects.
Global Reach: Fully remote from anywhere.
Publication: Opportunity to publish in leading venues.
Career Opportunities After Completion
| Area | Opportunities |
|---|---|
| AI Safety Research | Research positions in AI safety |
| Machine Learning | ML research and engineering |
| Academia | Research and teaching roles |
| Industry | AI research and development |
Tips to Increase Selection Chances
Demonstrate strong mathematical and research background.
Articulate clear motivation for AI safety research.
Highlight relevant publications and technical skills.
Apply early (rolling basis).
Show engagement with AIXI/AI safety communities.
Common Mistakes to Avoid
| Mistake | Why to Avoid |
|---|---|
| Generic Application | Tailor your application to AI safety research |
| Missing Technical Skills | Highlight relevant mathematics and ML expertise |
| Unclear Motivation | Show genuine interest in reducing existential risks |
| Incomplete Application | Ensure all sections are completed |
Frequently Asked Questions (FAQs)
| Question | Answer |
|---|---|
| Q1. What is the fellowship? | AI safety research fellowship at AIXI Labs. |
| Q2. What is the stipend? | £2,000-£3,500 per month. |
| Q3. Where is the fellowship based? | Remote or London, UK. |
| Q4. Who can apply? | PhD-level researchers, ML scientists, computer science researchers. |
| Q5. What are the research areas? | AI safety, algorithmic information theory, reinforcement learning, intelligent agent systems. |
| Q6. What is the mentorship team? | Marcus Hutter, Cole Wyeth, Aram Ebtekar. |
| Q7. Is there a compute budget? | Yes, for machine learning research. |
| Q8. How can I apply? | Apply through the AIXI Labs application portal. |
| Q9. Are applications rolling? | Yes, applications are reviewed on a rolling basis. |
| Q10. What is the official website? |
CareerFlora Expert Insight
The AIXI Labs Research Fellowship offers a unique opportunity for researchers to advance AI safety through rigorous theoretical and empirical work. With generous stipends, expert mentorship, and global flexibility, it is ideal for those committed to reducing existential risks from AI.
Best Opportunity For
| Category | Suitable |
|---|---|
| PhD Researchers | Yes |
| Machine Learning Scientists | Yes |
| Computer Science Researchers | Yes |
| AI Safety Enthusiasts | Yes |
| Reinforcement Learning Specialists | Yes |
Competition Level
| Category | Level |
|---|---|
| Overall Competition | High |
| Selection Difficulty | Difficult |
| Application Complexity | High |
CareerFlora Recommendation
| Recommendation Area | Details |
|---|---|
| Funding Value | Excellent |
| Career Growth | Very High |
| Application Difficulty | High |
| Apply Early | Strongly Recommended |
Final Call-to-Action
Apply for AIXI Labs Research Fellowship 2026.
Visit the official AIXI Labs application portal.
Review the research areas and guidelines.
Submit your application.
Follow CareerFlora for the latest updates.
