Research Scientist - Computer Science & Computational Physics

Remotebridge; United States; Remote; USD 120,000 - 180,000; Part time

Job summary

Remotebridge is seeking a Research Scientist specializing in Computer Science & Computational Physics to advance a customer’s research project. You will apply domain knowledge to inform training of next-generation AI systems and develop rigorous methods for tests, proofs, and simulations.

The role emphasizes evaluating novelty, reproducing results, and documenting methodologies; experience with frontier models or formal tools (Lean, SAT/SMT) is a plus, with flexible contractor scheduling for

Qualifications

• 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.

Responsibilities

• 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.

Skills

Computational methods

Frontier models & agents

Formal reasoning

Research dissemination

Education

Late-stage PhD candidate / Postdoc / 0-5 years post-PhD

Tools

Lean

SAT/SMT solvers

Job description

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.

Scope of 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.

Preferred Qualifications

• 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.