Description

In this role, you will engage in developing and validating advanced algorithms for energy storage systems, focusing on enhancing battery performance through data analysis and modeling. Your work will involve collaboration with a team to ensure project goals are met efficiently.

Requirements

• •Master's degree in Electrical Engineering, Chemical Engineering, Energy Systems, Battery Technology, or related field
• •Strong background in electrochemistry, battery systems, or energy storage technologies
• •Knowledge of battery modeling, SoC/SoH estimation techniques, and degradation mechanisms
• •Experience with AI or machine learning techniques, preferably applied to energy storage, modeling, or control systems
• •Proficiency in MATLAB/Simulink, Python, or similar simulation tools with working experience in Linux systems
• •Strong analytical and problem-solving skills, with ability to process large datasets and derive actionable insights
• •Effective communication and teamwork skills to collaborate in a multidisciplinary environment

Tasks

• •Contribute to the development of advanced battery algorithms
• •Test and validate algorithms focusing on state estimation and degradation modeling
• •Support modeling of battery behavior using equivalent circuit models
• •Utilize physics-based electrochemical models and grey-box approaches
• •Analyze experimental and field data to improve model accuracy
• •Implement and simulate algorithms in MATLAB/Simulink or Python
• •Validate algorithms in relevant environments
• •Prepare technical reports and documentation
• •Create presentations to communicate progress and findings
• •Collaborate with researchers and engineers to meet project milestones

Tools & Technologies

Benefits