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[UK4GT14S] Physical Sciences Expert

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Remote

[UK4GT14S] Physical Sciences Expert

ZettaMine Labs Pvt. Ltd.

[UK4GT14S] Physical Sciences Expert

Skills

PythonData AnalysisAILinux

1 month ago

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Important information


Contract type:

Part time

Location:

Panara, Madhya Pradesh 480551, India

Work mode:

Remote

Published on:

29 September 2026

What they need


Hello,

Greetings from ZettaMine!!!

We are hiring Physical Sciences Experts for a short-term AI Research & Scientific Computing project across: 🇮🇳 India

Role: Physical Sciences Expert – Terminal Bench

Experience: Ph.D., Postdoctoral Experience, or Equivalent Advanced Technical Experience

Mode: Remote

Engagement: Contractor / Short-Term Contract

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

  • Strong programming skills in Python, C/C++, Julia, Bash , or another relevant scientific programming language.
  • Experience working in Linux or terminal-based environments .
  • Strong knowledge of numerical methods, scientific modeling, simulations, or quantitative data analysis.
  • Ability to independently implement, test, debug, and validate computational scientific workflows.
  • Strong understanding of units, numerical precision, physical constraints, boundary conditions, convergence, and scientific reproducibility .
  • Ability to develop rigorous scientific tasks with clearly defined inputs, expected outputs, and evaluation criteria.
  • Experience working with datasets, molecular structures, simulation parameters, experimental data, and scientific model configurations.
  • Ability to develop and validate computational workflows involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization.
  • Ability to debug issues involving dependencies, numerical precision, solver stability, performance, and file formats.
  • Ability to validate scientific outputs for physical consistency and reproducibility.

Educational Qualification:

Mandatory: Ph.D., postdoctoral experience, or equivalent advanced technical experience in Physics, Chemistry, Materials Science, Computational Science , or another relevant physical-science discipline.

Preferred: Advanced research or professional experience in Computational Physics, Computational Chemistry, Astronomy & Cosmology, Thermodynamics, Quantum Mechanics, Statistical Mechanics, Materials Modeling, Scientific Computing , or related fields.

Availability :

  • Ability to work remotely on a short-term scientific computing project.
  • Immediate availability preferred.
  • Ability to collaborate with project reviewers and incorporate feedback.
  • Availability according to project requirements and deadlines.

Others:

  • Personal laptop/desktop and stable high-speed internet.
  • Strong written and verbal communication skills.
  • Experience working with scientific computing and terminal-based environments.
  • Ability to ensure computational tasks are reproducible and execute successfully without runtime downloads.
  • Strong attention to scientific accuracy, documentation, and reproducibility.
  • Ability to provide an updated Google Scholar profile/link where applicable.

What You’ll Work On:

  • Design authentic, multi-step physical-science tasks based on realistic research and computational workflows.
  • Translate scientific and research workflows into self-contained terminal environments.
  • Prepare datasets, molecular structures, simulation parameters, experimental data, and model configurations.
  • Implement expert solutions using Python, Bash, C/C++, Julia , or other relevant scientific tools.
  • Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
  • Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
  • Define appropriate numerical tolerances, units, boundary conditions, and expected scientific behavior.
  • Validate that tasks are reproducible and execute successfully without runtime downloads.
  • Debug issues involving dependencies, numerical precision, solver stability, performance, and file formats.
  • Document scientific assumptions, computational requirements, expected outputs, and known limitations.
  • Develop benchmark tasks that evaluate whether AI agents can reason through scientific problems, implement reliable computational models, operate command-line tools, debug scientific calculations, and produce accurate and verifiable scientific outputs.

Interested candidates kindly share your updated CV and Google Scholar profile/link to [email protected]

Thanks & Regards,

Praneeth.N

ZettaMine

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