Job Description

We are seeking a

Battery Research Engineer

to develop physics-based battery models, state estimation algorithms, and data-driven analytics for lithium-ion battery management systems in electric vehicle applications.

Key Responsibilities

Develop and validate equivalent circuit models (ECM) and physics-based battery models using MATLAB/Simulink/Simscape Design and implement state estimation algorithms (EKF, UKF, Particle Filters) for SOC/SOH/RUL estimation Execute battery testing protocols (HPPC, GITT, capacity tests, aging tests) and extract model parameters Process and analyze large-scale battery datasets from testing equipment and fleet vehicles Generate technical reports, validation studies, and visualization dashboards

Required Qualifications

Education:

Bachelor's degree in Electrical/Electronics/Mechanical/Chemical Engineering or related field Master's degree preferred in Battery Technology, Power Electronics, or Control Systems

Experience:

2-4 years

in battery modeling, simulation, or BMS algorithm development

Must Have Skills:

Strong understanding of lithium-ion battery chemistry, electrochemistry, and aging mechanisms
Knowledge of battery chemistries (LFP, NMC, NCA)

Proficiency in

MATLAB/Simulink

and

Simscape

for battery modeling Knowledge of equivalent circuit models (RC models, Thevenin) and parameter identification

Python

(NumPy, Pandas, Matplotlib) for data analysis

Good to Have:

Experience with

PyBaMM

or similar battery modeling tools
Job Type: Full-time

Pay: Up to ?75,000.00 per month

Benefits:

Health insurance Paid sick time
Experience:

Research engineer: 1 year (Preferred)
Work Location: In person