What are the responsibilities and job description for the Materials Science Expert - Remote position at YO AI Labs?
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
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
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.
- Materials Science & Engineering
- Computational Materials Modeling
- Materials Simulation & Analysis
- Python
- Scientific Computing
- Structure–Property Relationships
- Numerical Validation & Troubleshooting
- Technical Problem-Solving
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.
Salary : $80 - $130