SES AI is seeking a Computational Chemistry Intern for a six-month, hands-on research role focused on molecular dynamics simulations of advanced electrolyte systems relevant to battery chemistries. The position offers training and mentorship while collaborating with a global team in an innovative, AI-driven environment
Job Summary
Contribute to the SES Molecular Universe project by supporting computational chemistry modeling and simulation of advanced electrolyte systems.
Independently or collaboratively perform molecular dynamics simulations for liquid-phase systems, especially electrolytes, including system construction, initial structure generation, and simulation parameter setup.
Analyze simulation results in depth, including structural, dynamic, and thermodynamic properties, and build automated data-processing pipelines.
Matching Summary
Match Score: 85
SES AI is seeking a Computational Chemistry Intern for a six-month, hands-on research role focused on molecular dynamics simulations of advanced electrolyte systems relevant to battery chemistries. The position offers training and mentorship while collaborating with a global team in an innovative, AI-driven environment.
Skills & Requirements
Must-have
molecular dynamics simulations
liquid-phase systems
electrolyte systems
Python programming
data analysis pipelines
Nice-to-have
force field development
AI for Science
international research environment
Key Requirements
PhD candidate in Computational Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, or related field
Hands-on experience with molecular dynamics simulations
Familiarity with GROMACS, LAMMPS, OPENMM, or similar
Experience with electrolyte systems or battery-related simulations strongly preferred