Materials Science Expert

What you'll do

This is a coding-first materials role, and the ad says so plainly: candidates must already use coding agents with Python in their workflow. A typical task means building a material or atomic model, configuring and running a simulation, calculating the relevant properties, analysing the output, and deciding whether the result is both computationally valid and physically meaningful. You create, solve, review and validate these tasks across structure, properties, processing, performance and failure.

The simulation range is wide: atomistic, electronic-structure, molecular dynamics, continuum and electrochemical work, with Python doing the input generation, parameter sweeps, automation and post-processing. The named tools (LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM) are examples; an equivalent command-line tool is acceptable, and no single library is mandatory.

Who fits

• An MS or PhD in materials science and engineering, metallurgy or a close field, or in mechanical or chemical engineering with a substantial materials specialisation
• A solid grasp of structure-property relationships
• Real experience in computational modelling, simulation or materials engineering analysis, from academia, national labs or industry R&D
• Python fluency plus hands-on use of coding agents
• Scientific Python basics: NumPy, SciPy, pandas, Matplotlib, Jupyter

How hiring works

The ad lays out three steps: an application with screening questions, an AI interview of about 30 minutes, then a hiring manager review. micro1 says it usually fills roles within 48 hours and expects the first task within 24 to 48 hours of onboarding.

What it pays

The listing quotes $80–150/hour, but compensation is output-based: you are paid per task that meets the specification, and minimum submission requirements apply. The expected commitment is about 15 hours a week on a flexible schedule, weekends included if you like. The top of this band is higher than micro1's separate Materials Scientist / Engineer listing ($80–130), which focuses on failure analysis rather than simulation.

Worth knowing

Good:

• Open globally, fully remote, flexible hours
• A clear, short hiring process
• A strong ceiling for computational materials work
• 100 openings, flagged high demand

Less good:

• MS or PhD is required, not preferred
• Per-task pay: rejected tasks are unpaid and no per-task fee is published
• Requires existing coding-agent habits, which many experienced modellers do not yet have
• Contractor engagement: no benefits, your own tax to manage

About this listing

Posted by micro1 on its own jobs portal 18 days before we read it on 24 September 2026. The band, the roughly 15-hour weekly commitment, the global location and the hiring steps come from that listing. Payment schedule and visa terms are not published on the ad. See micro1.