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# Research Scientist - Computer Science - Remote

- **Company:** Yo Labs Inc.
- **Location:** New York, NY, United States (Remote available)
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Computer Simulation, Machine Learning, Information Technology
- **Published:** October 18, 2026
- **Apply:** https://www.careerjet.com/jobad/us33b6916195f4553b16376c0ec964081d

## About the Role

* Late-stage PhD, postdoctoral, or early-career academic experience (0-5 years post-PhD) in computer science or mathematical/computational physics.
 * Strong research record, including recent publications in leading conferences or journals.
 * Expertise in computational methods such as simulation, numerical analysis, and algorithm implementation.
 * Ability to assess research findings rigorously and compare them with existing literature., * Research recognition, such as best paper or dissertation awards at leading venues like STOC, FOCS, SODA, PLDI, or SC.
 * Experience reviewing or sub-reviewing for prominent conferences.
 * Familiarity with frontier AI models, research agents, and formal tools such as Lean or SAT/SMT solvers.
 * A publicly available research statement or homepage outlining open problems under investigation.

## Description

We are seeking Research Scientists in Computer Science or Computational Physics to support an advanced AI research project. You'll use frontier AI models and computational tools to investigate open problems, develop algorithms, validate results, and evaluate scientific discoveries. No prior AI experience is required., * Identify open problems, theoretical bounds, and research challenges suitable for rigorous investigation.

 * Use AI models and agents to explore proofs, develop algorithms, and conduct computational simulations.
 * Verify research outputs through proof checking, numerical reproduction, and formal tools.
 * Evaluate findings for novelty and correctness against recent scientific literature.
 * Document research methods, partial results, and challenges in clear reports.
 * Identify promising discoveries and research directions for further exploration.