Atomistic & Surface Modeling Experts; Computational Materials & Catalysis

Mercor is seeking computational scientists specializing in atomistic and surface modeling to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from

and your input will directly shape how advanced models reason about materials, surfaces, and chemical processes.

• Contribute domain expertise across first-principles and molecular simulation electronic structure, surface and interface modeling, adsorption, and reaction energetics to build high-quality training and evaluation data.
• Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
• Design and solve challenging, expert-level problems in atomistic and surface modeling.
• Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
• Structure technical knowledge simulation setups, methods, and results into well-organized, model-ready data.
• Deliver reliable, high-quality work within defined timelines.

• 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 (slab models, surface reconstructions, transition states, NEB, microkinetics).
• Experience modeling semiconductor-relevant materials, or a background in computational (heterogeneous) catalysis.
• Proficiency with standard tooling (e.g., VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, pymatgen).
• A PhD in materials science, chemistry, physics, chemical engineering, or a related field, ideally with several years of research experience beyond the PhD.
• Clear written English and the ability to explain technical reasoning concisely.

• Type:
  Long-term, ongoing engagement
• Engagement:
  Up to 40 hours/week (minimum 10)
• Work arrangement:
  Remote (US-based)

This opportunity may suit professionals with relevant experience in AI evaluation, Physics, Research. Review the official description and requirements before applying.

The listing states $84 / hour. Confirm the final rate, workload, and payment terms during the official application process.

• You can show recent, specific work involving AI evaluation, Physics, Research.
• The listed commitment of 40 hours/week fits your schedule.
• You can communicate your reasoning clearly in the application language.
• You are comfortable with project availability and hours varying over time.

The listing states $84 / hour. Confirm the final rate, workload, and payment terms during the official application process.