Atomistic Materials Modeling Expert
Posted 2 days ago
You'll complete your application on Mercor's career site.
About the Role
The goal of this position is to recruit specialists in atomistic materials modeling to assist with advanced artificial intelligence research. You will concentrate on interpreting intricate scientific issues that demand an extensive background in molecular modeling, quantum mechanical simulations, and computational materials science. Your work will support the development of state-of-the-art AI systems designed to address complex obstacles in physics-based simulations and materials discovery. The role centers on appraising high-level scientific reasoning and ensuring the technical precision of computational models within a research-oriented setting. You will use your domain knowledge to connect machine intelligence with complex physical simulations, focusing on areas like thermodynamics, electronic structure, and interatomic interactions to guarantee that all AI output meets rigorous scientific standards.
Requirements
- Possess a PhD in Computational Chemistry, Materials Science and Engineering, Computational Materials Science, Condensed Matter Physics, Chemical Engineering, or a similar discipline; exceptionally qualified MSc candidates may be considered.
- Demonstrate practical proficiency in methods such as Ab initio Molecular Dynamics, Density Functional Theory, Monte Carlo simulations, or classical Molecular Dynamics.
- Exhibit mastery of computational tools including LAMMPS, VASP, Quantum ESPRESSO, CP2K, or GPAW.
- Demonstrate strong proficiency in Python for scientific computing and data analysis.
- Maintain a comprehensive understanding of statistical mechanics, thermodynamics, and electronic structure to accurately validate computational predictions and interpret simulation data.
Responsibilities
- Appraise advanced scientific inquiries concerning computational materials science and atomistic simulations.
- Review and confirm the validity of AI-generated responses.
- Evaluate the suitability of physical assumptions and simulation parameters.
- Analyze sophisticated phenomena, including material stability, reaction energetics, diffusion mechanisms, and atomic structures.
- Identify computational mistakes and methodological constraints.
- Create high-quality rubrics for evaluation and reference solutions to improve AI performance.
- Assess defect formation, adsorption energies, and interface or surface phenomena to maintain high scientific rigor.
Benefits & Perks
- Gain the chance to utilize high-level computational skills within pioneering AI research.
- Engage in complex scientific evaluation projects.
- Benefit from flexible scheduling, requiring a minimum of 10 hours per week with the option to increase up to 40 hours per week to accommodate personal and professional commitments.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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