ZettaMine Labs Pvt. Ltd.
[UK4GT14S] Physical Sciences Expert
Skills
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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