CONTRACTORRemoteActive
Materials Science Expert
micro1 is engaging Materials Science Experts for an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. Contributors will create, solve, review, and validate engineering tasks related to material structures, properties, processing, performance, and failure. The role requires strong materials expertise together with experience using scientific or engineering tools programmatically through code, scripts, configuration files, command-line interfaces, or APIs.
Salary
USD80 - USD130 / hour
Department
Materials Science & Engineering
Experience
MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline, or an advanced Mechanical or Chemical Engineering degree with substantial materials specialization
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Recorded experience: MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline, or an advanced Mechanical or Chemical Engineering degree with substantial materials specialization
- Core expertise
- Materials Science & Engineering | Materials Science | Computational Materials Science | Materials Modeling
- Named tools
- Python | R
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-09-08 | Valid through 2026-10-08
- Compensation
- Recorded compensation: $80-$130/hour
Responsibilities
- Solve and validate computational materials-science and materials-engineering problems.
- Create material structures, atomic configurations, compositions, and solver-ready inputs.
- Model relationships between material composition, structure, processing, properties, and performance.
- Run atomistic, electronic-structure, molecular-dynamics, continuum, electrochemical, and related simulations.
- Use Python to generate simulation inputs, automate calculations, conduct parameter sweeps, process results, and validate outputs.
- Analyze mechanical, thermal, electrical, chemical, structural, and electrochemical material properties.
- Diagnose failed calculations, invalid structures, convergence problems, numerical instability, and incorrect physical assumptions.
- Compare computational results with experimental data, literature values, known material properties, and expected physical trends.
- Review AI-generated materials-science solutions for scientific correctness and identify invalid assumptions, configurations, or conclusions.
- Develop reproducible reference solutions and objective verification methods.
Skills
Materials SciencePythonComputational Materials ScienceMaterials ModelingScientific SimulationAtomistic ModelingElectronic StructureMolecular DynamicsContinuum ModelingElectrochemical SimulationMaterials CharacterizationStructure-Property RelationshipsLAMMPSASEpymatgenQuantum ESPRESSOFEniCSxCalculiXElmerPyBaMMNumPySciPypandasMatplotlibJupyter
Requirements
- MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline, or an MS or PhD in Mechanical or Chemical Engineering with 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.
- Practical proficiency with Python.
- Experience with at least one engineering or scientific tool accessible through a CLI, scripting interface, configuration files, or programmatic API.
- Ability to understand and justify modeling assumptions, parameters, approximations, and convergence criteria.
- Ability to distinguish computational failures from genuine physical behavior.
- Ability to clearly explain complex scientific reasoning and technical limitations.
- Relevant experience may come from academic research, national laboratories, industry R&D, computational engineering, or other demonstrated materials work.
- Ability to commit approximately 15 hours per week.
Benefits
- Global, fully remote contractor opportunity.
- Compensation of $80–$130 per hour based on qualifying output.
- Flexible schedule of approximately 15 hours per week.
- Ability to choose working hours and days, including weekends if desired.
- Opportunity to work on advanced computational materials-science and engineering problems.
- Opportunity to apply Python and programmatic scientific tools to next-generation AI training.
- Selected experts may begin their first task within 24–48 hours after completing onboarding.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
- Never pay a fee to submit a job application.