Computational Materials Specialist
Job Description
Create and validate materials-modeling tasks using simulation and Python.
What you will do
• Construct atomic/material structures, compositions and solver inputs.
• Explain how a material’s composition and structure interact with its processing history to determine properties and practical performance.
• Use appropriate numerical methods, including atomistic models, electronic-structure calculations, molecular dynamics, continuum analysis or electrochemical simulation.
• Automate inputs, sweeps and result analysis in Python and check physical and computational validity.
Required background
• An MS or PhD in materials science/engineering, metallurgy or a closely related field, or an MS/PhD in mechanical/chemical engineering with substantial materials specialization.
• Strong understanding of material behavior and structure–property relationships.
• Experience in computational modeling, simulation, characterization or materials engineering analysis.
• Practical Python and coding-agent experience.
Preferred background
• Relevant tools include LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer or PyBaMM; comparable command-line tools are acceptable.
• Useful Python tools include NumPy, SciPy, pandas, Matplotlib, Jupyter and specialist materials libraries; no individual library is mandatory.
Location and eligibility
• Open worldwide. Relevant experience may come from research, national laboratories, industrial R&D or demonstrated computational engineering.
Availability
• Remote and flexible, approximately 15 hours weekly.
Pay and engagement
Per approved task; fee agreed before work
Payment requires work to meet the agreed acceptance criteria. Confirm any weekly submission requirement and the fee before starting.
Amounts are in USD. The applicable rate or fee and work requirements are agreed before you begin.