Materials Science Expert

Remotebridge; Mississippi; Remote; USD 110,000 - 207,000; Part time

Job summary

Frontier AI Lab is seeking a Materials Science Expert for a remote, contractor role focused on computational materials science and AI-driven materials engineering. You will build and validate materials models, configure simulations, and explore how composition and structure influence properties and performance.

The role is coding-intensive, leveraging Python and popular simulation tools to automate workflows, run large parameter sweeps, and ensure results are physically meaningful.

Qualifications

• MS or PhD in Materials Science and Engineering, Metallurgy, or related field.
• MS or PhD in Mechanical/Chemical Engineering with strong materials focus.
• Strong understanding of structure–property relationships.
• Experience with computational materials modeling, simulation, or analysis.
• Experience using coding agents and Python.

Responsibilities

• Solve and validate computational materials-science problems.
• Create material structures, atomic configurations, and solver-ready inputs.
• Model relationships between composition, structure, processing, properties, and performance.
• Run atomistic, electronic-structure, molecular-dynamics, continuum or related simulations.
• Use Python to automate calculations, sweeps, and validate outputs.

Skills

Python programming

Materials modeling

Data analysis

Literature review

Education

MS/PhD in Materials Science

MS/PhD in Mechanical Engineering with materials specialization

Tools

LAMMPS

ASE

pymatgen

Quantum ESPRESSO

FEniCSx

CalculiX

Elmer

PyBaMM

Job description

# Materials Science ExpertFrontier AI Lab · Remote · Full-time## Ready to see if you fit?Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.Sign up to check your fit## About the roleMaterials Science ExpertPay: $80–$150/hourLocation: Global, fully remoteJob Type: Contractor (~15 hours per week)Schedule: Flexible—you choose the hours and days you work, including weekends if desiredWe 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.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 is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.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.Required Qualifications• An MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline; or• An MS or PhD in Mechanical Engineering or Chemical Engineering with a substantial materials specialization.• Strong understanding of materials behavior and relevant structure-property relationships.• Experience with computational materials modeling, simulation, characterization, or materials-focused engineering analysis.• Experience using coding agents and Python.Relevant tools may include LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or similar programmatic materials and simulation software. Experience with an equivalent CLI-accessible tool is acceptable.Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, atomistic modeling packages, materials informatics libraries, or domain-specific scientific tools. No single library is mandatory.Experience may come from academic research, national laboratories, industry R&D, computational engineering, or other demonstrated materials work.Process• Apply to the role and complete the screening questions.• Complete an AI interview of approximately 30 minutes.• Complete the hiring manager review. Compensation StructureCompensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.Minimum submission requirements apply.Start Timeline & Availability• We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.