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- Ph.D. in Materials Science, Chemistry, Physics, or a related field.
- Experience in the application of density functional theory to simulations of chemical reactions and/or ion transport in materials.
- Experience performing large-scale ab initio simulations on high-performance computing environments.
- Additional experience in at least one of the following methods: molecular dynamics, cluster expansion, advanced statistical sampling, kinetic Monte Carlo, or continuum simulations, as applied to the abovementioned applications.
- Ability to work independently on technical tasks, influence technical objectives, to provide in depth analysis, and develop unique technical solutions.
- Ability to develop independent research directions and describe results effectively in published peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment, prepare written reports and present and explain technical information.
- Interpersonal skills necessary to interact with a diverse set of scientists, engineers and other technical and administrative staff in a collaborative, multidisciplinary team environment.
Qualifications We Desire
- Experience with the development of novel methods for modeling the effects of structure and composition on interfacial chemical and electrochemical reactivity.
- Experience with the application of statistical, analytical, or machine learning methods for optimizing ion transport at interfaces and in solids.
- Experience in developing machine-learning interatomic potentials for complex materials.
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