Research Scientist - Computer Science & Computational Physics
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-10-30
Listing for:
Remotebridge
Full Time, Part Time
position Listed on 2026-10-30
Job specializations:
-
Research/Development
Research Scientist, AI Business & Operations, AI Evaluation, Mathematics
Job Description & How to Apply Below
Role
Title:
Research Scientist - Computer Science & Computational Physics
Role Type:
Contractor (flexible, Part-Time or Full-Time)
Location:
Remote
Our team is engaging Research Scientists in Computer Science & Computational Physics to help advance a customer’s high-impact research project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.
Scopeof Work
- Identify and propose open problems, new bounds, or tractable research challenges in your subfield for rigorous investigation.
- Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run computational simulations.
- Systematically verify research outputs by checking proofs, reproducing numerical results, or employing formal tools.
- Assess findings for novelty and correctness in direct comparison with recent literature and published results.
- Document methodologies, partial results, and encountered challenges through clear and thorough written reports.
- Highlight promising new directions and discoveries for deeper exploration by senior research professionals.
- Advanced standing in research: late-stage PhD candidate, postdoctoral researcher, or early-career academic (0-5 years post-PhD) in computer science or mathematical/computational physics.
- Recognized by peer community for research excellence, such as best paper or dissertation awards at leading venues (e.g., STOC, FOCS, SODA, PLDI, SC).
- Strong publication track record within the past three years, including multiple top-venue papers and recent results addressing named open problems or introducing novel concepts.
- Hands‑on expertise in computational methods, encompassing simulation, numerical analysis, and algorithmic implementation.
- Experience reviewing or sub-reviewing for prominent conferences in your specialty is a plus.
- Background in leveraging frontier models, agents, or formal computational tools (e.g., Lean, SAT/SMT solvers) in scholarly work.
- Publicly shared research statement or homepage outlining specific open problems currently under investigation.
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