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Computational Materials Scientist - PhD

$84 per hour

Mercor

Job Description

Job Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Atomistic & Surface Modeling Experts (Computational Materials & Catalysis)
Type: Contract
Compensation: $84/hour
Location: Remote
Commitment: 10–40 hours/week

Role Responsibilities

  • Contribute domain expertise in first-principles and molecular simulation to build high-quality training and evaluation data.
  • Review and evaluate AI-generated scientific reasoning to improve technical accuracy.
  • Design and solve expert-level problems in atomistic and surface modeling .
  • Rate and rank model outputs against scientific criteria with clear reasoning.
  • Structure technical knowledge into well-organized, model-ready data.
  • Deliver reliable, high-quality work within defined timelines.

Qualifications

Must-Have

  • Hands-on experience with atomistic modeling using first-principles or molecular methods ( DFT , ab initio molecular dynamics , classical MD , or Monte Carlo ).
  • Experience modeling surfaces, interfaces, and adsorption or reaction phenomena.
  • Proficiency with standard tooling (e.g., VASP , Quantum ESPRESSO , CP2K , GPAW , LAMMPS , ASE , pymatgen ).
  • PhD in materials science , chemistry , physics , chemical engineering , or a related field.
  • Clear written English and the ability to explain technical reasoning concisely.

Preferred

  • Experience modeling semiconductor-relevant materials or a background in computational (heterogeneous) catalysis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Vacancy posted 12 days ago
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