[US] Computational Chemistry Intern (Materials Modeling/Molecular Simulation)

SES AI is seeking a Computational Chemistry Intern to support computational modeling and simulation of advanced electrolyte systems for next-generation batteries. The intern will contribute to the Molecular Universe project and receive training and mentorship from a computational scientist.

Requirements

• PhD (or PhD candidate) in Computational Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, or a related field
• Hands-on experience with molecular dynamics simulations, particularly for liquid-phase systems
• Familiarity with common simulation tools such as GROMACS, LAMMPS, OPENMM, or similar packages
• Experience with electrolyte systems, ionic systems, battery-related simulations, or sodium-ion systems is strongly preferred
• Understanding of molecular force fields, including basic principles of force field development and parameterization; direct experience is preferred
• Programming skills in Python or similar languages for data analysis, workflow automation, and simulation pipeline development
• Strong problem-solving skills and the ability to diagnose simulation instability, convergence issues, and physical inconsistencies
• Excellent communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences
• Ability to work effectively in a collaborative, international research environment
• Professional English proficiency is required, including technical discussions, documentation, and presentations

Benefits

• Mentorship from a computational scientist
• Collaboration with a global team across simulation, machine learning, and experimental validation