Sr Engineer

1. Key Tasks and Deliverables

• Develop and validate reduced-order multi-physics electrochemical models for lithium-ion cells and packs to predict performance under static and dynamic conditions.
• Create computationally efficient simulation models for degradation prediction and calibrate using lab and field data for lifetime and warranty estimation.
• Design coupled thermal-electrochemical models to assess performance and degradation under abusive test conditions.
• Develop data-driven degradation models using machine learning techniques.
• Analyze test and simulation data; prepare detailed technical reports.
• Collaborate with testing teams and integrate developed models into vehicle-level simulations.

2. Critical Must-Have Deliverables

• Accurate electrochemical and thermal models for lithium-ion cells and packs.
• Validated degradation prediction models calibrated with real-world data.
• Integration-ready simulation models for vehicle-level applications.

3. Good-to-Have Deliverables

• Advanced machine learning-based predictive models for cell health monitoring.
• Automation scripts for simulation workflows and data analysis.

• Automotive OEMs, EV battery manufacturers, energy storage solution providers.

• ME/MTech in Mechanical Engineering, Chemical Engineering, or Metallurgical & Materials Engineering.

Competencies and Skills

• Electrochemical kinetics and battery performance analysis.
• 1D battery modeling techniques and simulation tools.

• GT-AutoLion, MATLAB/Simulink, Python programming.

• Strong analytical thinking, problem-solving, and cross-functional collaboration.
• Excellent communication and technical reporting skills.