Remote Principal Research Scientist: Computational Physics & AI

YO AI Labs

New York (NY)

Remote

USD 120,000 - 180,000

Part time

2 days ago
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Job summary

YO AI Labs is inviting applications for a Principal Research Scientist role in Computer Science or Computational Physics. The position is remote and offered as a contractor with flexible scheduling (part-time or full-time).

The role emphasizes leading AI-enabled research, proofs, simulations, and numerical experiments. Strong publication credentials and a deep background in computational methods are essential. No prior AI experience is required.

Qualifications

  • 7–10+ years of active research experience in computer science or computational physics.
  • Strong record of scholarly contributions and publications in leading research venues.
  • Expertise in computational research methods, such as simulation, numerical analysis, algorithm implementation, or high-performance computing.
  • Ability to rigorously evaluate results

Responsibilities

  • Identify foundational open problems, theoretical limits, and simulation challenges with verifiable outcomes.
  • Guide AI models through complex research tasks involving proofs, algorithms, numerical experiments, and high-performance simulations.
  • Validate results through proof checking, computational reproduction, and formal methods.
  • Evaluate the novelty, correctness, and significance of research against existing literature.
  • Prepare research memos documenting findings, partial solutions, and AI model limitations.
  • Recommend promising research directions and open problems for AI-assisted investigation.

Skills

Research experience
Publications
Computational methods
High-performance computing

Job description

YO AI Labs is inviting applications for a Principal Research Scientist role in Computer Science or Computational Physics. The position is remote and offered as a contractor with flexible scheduling (part-time or full-time).

The role emphasizes leading AI-enabled research, proofs, simulations, and numerical experiments. Strong publication credentials and a deep background in computational methods are essential. No prior AI experience is required.

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