Research Scientist - Computer Science & Computational Physics

Micro1

India

A distancia

INR 600.000 - 1.200.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Descripción de la vacante

Cashback24x7 is seeking a Research Scientist - Computer Science & Computational Physics for remote engagement as a contractor. The role supports advancing a high-impact research project with flexible part-time or full-time options.

Responsibilities include proposing open problems, performing structured research with frontier AI models, verifying proofs, and documenting findings for senior researchers. Strong academic credentials and publication track record are preferred.

Formación

  • Identify and propose open problems in subfield for rigorous investigation.
  • Conduct structured research using frontier AI models and agents to attempt proofs, develop algorithms, or run simulations.
  • Document methodologies, partial results, and encountered challenges through clear reports.
  • Highlight promising new directions for senior research professionals.

Responsabilidades

  • 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.

Conocimientos

Frontier AI models
Proofs
Algorithm implementation

Educación

PhD candidate / postdoc / early-career academic (0-5 years post-PhD) in CS or mathematical/computational physics

Herramientas

Lean
SAT/SMT solvers

Descripción del empleo

Job Description

Job DescriptionRole Title: Research Scientist - Computer Science & Computational PhysicsRole Type: Contractor (flexible, Part-Time or Full-Time)Location: Remotemicro1 is engaging Research Scientists in Computer Science & Computational Physics to help advance a customer’s high-impact research project.

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.
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