Remote CS & Physics Research Scientist (AI & Proofs)

OpenTrain AI, Inc.

United States

Remote

USD 138,000 - 551,000

Part time

14 days+

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Job summary

OpenTrain AI, Inc. seeks a Computer Science and Physics Research Scientist to explore open problems in CS and mathematical/ computational physics using AI models, proofs, algorithms, and simulations.

Work is remote with flexible part-time or full-time engagement. You will assess research outputs for correctness and novelty, document methods and results, and compare findings with current literature to advance the field.

Qualifications

  • Experience conducting research in computer science or mathematical/computational physics.
  • Strong ability to run simulations and perform numerical analysis.
  • Ability to document methods, results, challenges and next steps clearly.
  • Publication record or work addressing open problems and novel concepts.

Responsibilities

  • Identify open problems, new bounds, and research challenges to investigate.
  • Use AI models and agents to attempt proofs, develop algorithms, and run simulations.
  • Verify proofs, reproduce numerical results, and use formal tools when appropriate.
  • Compare findings with recent publications to assess correctness and novelty.
  • Write thorough reports detailing methods, results, challenges and next steps.

Skills

Simulation
Numerical analysis
Algorithmic implementation
Careful evaluation of research claims

Education

Late-stage PhD candidate / postdoctoral researcher / early-career academic in CS or mathematical/computational physics

Tools

Lean
SAT or SMT solvers
Formal computational tools

Job description

OpenTrain AI, Inc. seeks a Computer Science and Physics Research Scientist to explore open problems in CS and mathematical/ computational physics using AI models, proofs, algorithms, and simulations.

Work is remote with flexible part-time or full-time engagement. You will assess research outputs for correctness and novelty, document methods and results, and compare findings with current literature to advance the field.

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