Physicist, Theo Collaborators Program, Quantum Information

FirstPrinciples is launching the Theo Collaborators Program, inviting expert physicists to work alongside its AI Physicist system (Theo) to validate and guide AI-generated research in quantum information theory. This role focuses on evaluating scientific reasoning, refining research questions, and ensuring outputs meet rigorous theoretical standards.

Responsibilities:
- Review and validate AI-generated research questions for scientific relevance and tractability
- Provide feedback on assumptions, framing, and scope of research problems
- Contribute to defining evaluation criteria such as novelty, complexity, and originality
- Assess AI-generated research outputs (Dynamic Research Objects) for:
  - Mathematical soundness
  - Internal consistency
  - Alignment with established physics principles
- Identify gaps, errors, or limitations in AI-generated reasoning
- Help improve the AI system’s research workflows and evaluation processes
- Provide insights into theoretical physics standards and best practices

Requirements:
- Strong background in quantum information theory or related fields
- Advanced theoretical and mathematical expertise
- Experience in areas such as quantum error correction, stabilizer codes, or information theory
- Ability to critically evaluate complex theoretical work
- Open-minded yet rigorous approach to AI-assisted research

Preferred Candidates:
- Late-stage PhD students
- Postdoctoral researchers
- Early-career faculty
- Industry researchers with strong theoretical backgrounds

Engagement Details:
- Duration: 4 months
- Time commitment: ~15 hours per month
- Flexible, remote collaboration (calls + asynchronous feedback)

Benefits:
- Opportunity to shape the future of AI-driven scientific discovery
- Collaborate on cutting-edge research in physics and AI
- Influence standards for evaluating AI-generated science
- Work with a global, mission-driven nonprofit research team
- Receive a modest honorarium for contributions

Join FirstPrinciples to help define how AI systems contribute to fundamental scientific discovery and advance the future of theoretical physics.