Inorganic Materials, Semiconductor & Superconductor Experts
$84 / hour
Verified partner opportunity
$84 / hour
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.
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.
Key Responsibilities: • 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.
You're a strong fit if you 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 (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.
Role Details: • 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.
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The listing states $84 / hour. Confirm the final rate, workload, and payment terms during the official application process.
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