Battery Modeling Engineer

About Ener Venue, Inc.

Named one of the world's Top Greentech Companies by TIME in 2024 and 2025, Ener Venue builds simple, safer, and flexible energy storage solutions for the clean energy revolution. Based on technology proven over decades under the most extreme conditions, Ener Venue offers a differentiated stationary storage solution that improves upon today's alternatives.

Commercialized from research completed at Stanford University and backed by well-funded investors, Ener Venue is redefining the stationary storage market.

About the role

• Model Development & Simulation

• Implement equivalent circuit models (ECM) in MATLAB/Simulink

• Develop reusable simulation blocks for SOC/SOH estimation testing

• Build parameterized models across temperature, SOC, and aging states

• Develop automated parameter identification workflows

• Maintain model version control and documentation
• Electrochemical and Thermal Modeling

• Work on electrochemical and thermal model development

• Interpreting experimental data to extract modeling parameters

• Contribute to validation of degradation and performance hypotheses

• Translate electrochemical insights into simulation-ready formats
• Data Processing & Parameter Identification

• OCV-SOC curve fitting

• Resistance modeling vs temperature and SOC

• Aging trend analysis
• System & BMS Interface Support

• Prepare model outputs for BMS algorithm validation

• Support simulation of dynamic power limits

• Assist in worst-case scenario modeling (temperature, end-of-life)

• Collaborating with BMS and system engineering teams

Qualifications

• MSc with 3-6 years of relevant experience in battery modeling or physical system simulation
  OR

• PhD in Chemistry, Applied Mathematics, Physics, Computational Science, or a related quantitative discipline with 0-3 years of post-PhD experience

• Strong proficiency in MATLAB and Simulink (required)

• Strong mathematical modeling and numerical analysis skills

• Experience in parameter identification and curve fitting

• Solid understanding of electrochemical fundamentals

Ideal Mindset & Competencies

• Strong first-principles thinking and ability to reason from physical fundamentals.

• Comfortable working in an R&D environment with evolving models and technical uncertainty.

• Strong mathematical intuition and understanding of nonlinear system behavior.

• Builder mindset with hands-on execution capability in modeling and simulation.

• Collaborative, open to technical feedback, and able to work within a defined technical leadership structure.

• Disciplined in documentation and model version control.

• Motivated to learn and contribute to novel battery chemistry development.