Research Experts for Frontier AI/ML Open Questions

the platform is working with a leading intelligence AI lab to identify the most important open questions in core AI/ML fields and to build structured knowledge bases that could meaningfully accelerate progress over the next decade. We’re looking for exceptional PhD students and PostDocs with a clear point of view on what problems truly matter in their field and the depth to define how those problems could be tackled.

### Eligibility Requirement You will need to fill a short form in order to be eligible for this role: You will see this in addition to the AI interview in your application process. Below is guidance for what you will need to have in order to fill the form: Consider the biggest open questions in your field, for example, the 10–15 questions where a breakthrough would make headline news. From this set, select those closest to your area of expertise: questions within or adjacent to your specialty, or those where you could mentor an expert toward meaningful progress. Specifically, we are looking for questions where:

• A major breakthrough would be widely recognized as transformative (e.g., headline news in _Nature_, _Science_, or top field-specific venues)
• Meaningful progress is plausible within the next decade (not purely speculative or dependent on unknown technology)
• The question is concrete enough that progress can be evaluated (avoid umbrella questions like “How does the ML work?”)
• You have the relevant expertise to assemble a comprehensive knowledge base directly relevant to the question

### What You’ll Do 1\. Identify high-impact open questions

• Propose major open questions where a breakthrough would be transformative
• Focus on problems that are concrete, tractable, and close to your expertise 2\. Build a knowledge base for selected questions
• Seminal papers, key datasets, methods, recent advances, and “hidden gems”
• Assume an extremely strong expert all knowledge up until 6 months ago (1st October, 2025) Time commitment: ~8–16 hours per selected question

### Who We’re Looking For

• PhD candidates or PostDocs from top-tier institutions
• Deep expertise in AI/ML/Engineering
• Strong judgment about significance, tractability, and research quality
• Ability to synthesize large bodies of literature into clear learning paths
• Openings: ~50 experts per domain

### Expected Outputs

• Clearly articulated, high-impact open research questions
• Structured reading lists (~30–100 sources per question)
• Brief expert commentary on why each source and approach matters