Materials Science Expert - Remote
YO AI Labs · Anywhere, NY
FULL-TIME
Remote
Posted Sep 9, 2026
Job Description
Materials Science Expert
Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible
About the Role
We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required.
Key Responsibilities
- Solve and validate computational materials science problems.
- Build material structures, compositions, and simulation inputs.
- Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations.
- Use Python to automate simulations, parameter sweeps, and data analysis.
- Analyze mechanical, thermal, electrical, chemical, and structural properties.
- Diagnose convergence, numerical, modeling, and physical-assumption issues.
- Compare results with experiments, literature, and expected physical trends.
- Review AI-generated solutions and develop reliable reference solutions.
Required Skills
- Materials Science & Engineering
- Computational Materials Modeling
- Materials Simulation & Analysis
- Python
- Scientific Computing
- Structure–Property Relationships
- Numerical Validation & Troubleshooting
- Technical Problem-Solving
Tools
Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with
NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial.
Qualifications
- MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization.
- Experience in computational materials modeling, simulation, characterization, or materials R&D.
- Strong Python and programmatic engineering-tool experience.
- Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.
Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible
About the Role
We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required.
Key Responsibilities
- Solve and validate computational materials science problems.
- Build material structures, compositions, and simulation inputs.
- Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations.
- Use Python to automate simulations, parameter sweeps, and data analysis.
- Analyze mechanical, thermal, electrical, chemical, and structural properties.
- Diagnose convergence, numerical, modeling, and physical-assumption issues.
- Compare results with experiments, literature, and expected physical trends.
- Review AI-generated solutions and develop reliable reference solutions.
Required Skills
- Materials Science & Engineering
- Computational Materials Modeling
- Materials Simulation & Analysis
- Python
- Scientific Computing
- Structure–Property Relationships
- Numerical Validation & Troubleshooting
- Technical Problem-Solving
Tools
Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with
NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial.
Qualifications
- MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization.
- Experience in computational materials modeling, simulation, characterization, or materials R&D.
- Strong Python and programmatic engineering-tool experience.
- Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.
Additional Details
- State
- New York
- Country
- US
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