Physics-Based Modeling Internship/Co-Op

• Spend a minimum of 6 months onsite at Sila, beginning in June 2026 or similar, to work full-time in this hands-on role. • Design experiments from the test apparatus to the testing procedure to measure material properties and instrument performance. • Using those experimental results and theory, build foundational battery, material synthesis, and/or reactor models with strong mechanistic fidelity. • Using those models, predict future material properties and instrument performance and develop key insights to accelerate learning cycles and reduce the cost of empirical R&D. • Thoroughly document, streamline, and modularize workflow so that others can pick up and continue your work or reapply it for a new purpose • Clearly and concisely present results, with conclusions and recommendations, to engineering mentors, management and other stakeholders.

Are you a thoughtful, creative, diligent, and curious battery/material/chemical engineer with strong foundational knowledge in applied mathematics? Are you excited at the prospect of helping to build the next generation of battery materials and technologies? Sila Nanotechnologies is seeking an early career engineer who is: • Ready to translate their skillsets learnt in their previous areas of study to apply to and learn about new and unfamiliar but intersecting fields. • Unafraid to ask questions from the most complex and challenging to the simplest and most seemingly obvious. • Happy to consider ideas that may be incorrect but could lead to future insights. • Capable of graciously critiquing the work of themselves and others for the sake of improving upon current systems and solutions. • Eager to identify the next steps in a project without having them be explicitly defined for and dictated to them. • Willing to make working conclusions necessary to move forward and express an accurate amount of confidence in them when sharing with others. • Studying toward or recently completed a MSc or PhD degree in chemical engineering, materials science, chemistry, or related fields. • Prior experience working in energy-related academic and/or industrial research & development environments (experience working on batteries is a plus but not required). • Prior experience with electrochemical, material science, and/or thermomechanical characterization methods. • Prior experience with Python (additional experience with modeling software like Pybamm and/or COMSOL is a plus). • Strong foundational knowledge in applied mathematics or related fields. • Exceptional analytical and documentation skills. • Ability to learn new skills and ask for help when needed. • Capable of working independently with direction.