Physics Specialist

Role : - Physics Expert terminal bench

Role Overview

We are seeking Physical Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will translate authentic physics, chemistry, materials science, astronomy, and computational science workflows into reproducible benchmark environments.

Core Domains

Physics, chemistry, materials science, computational physics, computational chemistry, astronomy and cosmology, thermodynamics, quantum mechanics, statistical mechanics, or materials modeling.

What you'll do:

• Design multi-step terminal tasks based on realistic physical-science workflows.
• Develop self-contained computational environments with pinned dependencies and scientific software.
• Create input datasets, molecular structures, simulation parameters, experimental data, or model configurations.
• Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools.
• Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
• Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization.
• 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, precision, solver stability, performance, and file formats.
• Communicate scientific assumptions and computational limitations clearly to reviewers.

What we're looking for:

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline.
• Strong programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.
• Experience working in Linux or terminal-based environments.
• Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis.
• Ability to create and validate computational scientific workflows independently.
• Strong understanding of units, numerical precision, physical constraints, and scientific reproducibility.