Accelerated Science Intern, Multi-scale Physics Battery Modeling

We are looking for an intern researcher to contribute to the development of automated reasoning with multiscale physics-based battery models. We will benchmark this model against existing multiscale modeling software, incorporate fundamental materials knowledge, and integrate new methods for automated scientific reasoning. Your day-to-day will include building new and researching existing multiscale physics models.

Responsibilities

Research multiscale physics phenomena required in battery modeling; Data analytics for experimental battery design and testing; Identify key materials understanding that enable translation of existing models to new materials; Develop new reasoning models incorporating multiscale physics; Collaborate with the team on automated reasoning methods; Present findings within the team and to the greater group

Requirements

Are currently enrolled in a doctoral program in STEM subjects (chemistry, chemical engineering, materials science, mechanical engineering, or a related discipline); Multiscale physics modeling experience (e.g., COMSOL, GT-AutoLion, custom-built models, etc.); Battery electrochemical testing experience (e.g., Li-ion or Na-ion); Experience with standard material characterization techniques (x-ray diffraction, scanning electron microscopy, etc.); Published manuscripts and conference presentations pertaining to experimental or computational battery materials

Nice to have

Experience coding in Python

Benefits

Paid 12-week internship; Medical, dental, and vision insurance; Paid time off benefits (including holiday pay and sick time)