Remote Materials Science Expert (Contract) — AI Simulations

YO AI Labs; North Carolina; Remote; USD 83,000 - 131,000; Part time

Job summary

YO AI Labs is seeking a Materials Science Expert to support an AI training project on computational materials science, materials modeling, and scientific simulation. The role is a contractor position, fully remote, ~15 hours per week, with flexible scheduling.

You will solve, validate, and review materials-engineering tasks, building reproducible, programmatic solutions using Python to automate simulations, data analysis, and parameter sweeps.

Qualifications

• Advanced degree in Materials Science or related field.
• Experience with computational materials modeling and simulation.
• Strong Python and programmatic engineering-tool experience.
• Ability to explain modeling assumptions and validate results.

Responsibilities

• Solve and validate computational materials science problems.
• Build material structures, compositions, and simulation inputs.
• Run and analyze simulations from atomistic to continuum scales.
• Use Python to automate simulations, parameter sweeps, and data analysis.
• Analyze mechanical, thermal, electrical, chemical, and structural properties.
• Review AI-generated solutions and develop reference results.

Skills

Materials Science

Computational Modeling

Materials Simulation

Python

Scientific Computing

Structure–Property

Validation & Troubleshooting

Technical Problem-Solving

Education

MS/PhD in Materials Science

Tools

LAMMPS

ASE

pymatgen

Quantum ESPRESSO

FEniCSx

CalculiX

Elmer

PyBaMM

NumPy

SciPy

pandas

Matplotlib

Jupyter

Job description

YO AI Labs is seeking a Materials Science Expert to support an AI training project on computational materials science, materials modeling, and scientific simulation. The role is a contractor position, fully remote, ~15 hours per week, with flexible scheduling.

You will solve, validate, and review materials-engineering tasks, building reproducible, programmatic solutions using Python to automate simulations, data analysis, and parameter sweeps.