Materials Science Expert

Brief intro

We are looking for a highly skilled Materials Science Expert to contribute to an AI training project involving computational materials science, materials modeling, scientific simulation, and Python.

Key details

• The work involves creating, solving, reviewing, and validating engineering tasks related to material structures, properties, processing, performance, and failure
• A representative task may require constructing a material or atomic model, configuring and running a simulation, calculating relevant properties, analyzing the resulting outputs, and determining whether the solution is computationally valid and physically meaningful
• This role requires both strong materials expertise and experience using engineering or scientific tools programmatically
• Experience limited exclusively to graphical user interfaces will not be sufficient, as task solutions must be reproducible through code, scripts, configuration files, or command-line tools
• What You'll Work On Solve and validate computational materials-science and materials-engineering problems
• Create material structures, atomic configurations, compositions, and solver-ready inputs
• Model relationships between composition, structure, processing, properties, and performance
• Run atomistic, electronic-structure, molecular-dynamics, continuum, electrochemical, or related simulations
• Use Python to generate inputs, automate calculations, conduct parameter sweeps, process results, and validate outputs
• Analyze mechanical, thermal, electrical, chemical, structural, or electrochemical properties
• Diagnose failed calculations, invalid structures, convergence problems, numerical instability, and incorrect physical assumptions
• Compare computational results with experimental data, literature values, known properties, or expected physical trends
• Review AI-generated solutions for scientific correctness and identify invalid assumptions, configurations, or conclusions
• Develop reproducible reference solutions and objective verification methods