Are you passionate about batteries and modeling? Are you interested in working on the forefront of Battery Management Systems?
In this role, you will apply your skills as a modeling and algorithm engineer to design and develop future battery models and algorithms for next generation consumer electronic products.
You will be part of a multi-functional team working at the forefront of battery technologies, developing innovating models, algorithms, architectures, and products that are used by hundreds of millions of people every day.
Education :
- Degree in engineering or mathematics / physics related discipline and direct experience in a similar role are required
- MS with 3+ years of related experience or PhD with relevant experience preferred
Key Qualifications :
General understanding of Li-ion battery modeling. Knowledge of detailed battery modeling and electrochemistry is a plus.
Knowledge of battery cell design and materials would also be a plus
- Proficient in using modeling and simulation tools like MATLAB, Simulink, and other specialized tools
- Experience in writing efficient codes to analyze large data sets. Familiarity with Git and the code review process. Attention to details and ability to develop high quality code documentation
- Experience in dynamic modeling, statistical, and machine learning algorithm design
- Experience of developing solutions using control theories like Kalman filters, state observers
- Experience in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems. Experience solving optimization problems
- Expertise in C / C++ programming is a plus
Responsibilities :
In this position, you will be expected to use a combination of advanced mathematics, machine learning, electrical engineering, and control engineering knowledge to :
- Develop advanced battery models and control algorithms to improve battery performance
- Develop models to estimate and optimize cell and pack performance in the design phase
- Analyze large volumes of test data to understand cell performance differences and propose design improvements to address them
- Develop algorithms to estimate the state of charge and state of power of batteries
- Develop machine learning algorithms or mathematical models to predict cell performance across life
- Develop simulation models and tools to evaluate such new algorithms
- Only those lawfully authorized to work in the designated country associated with the position will be considered.
- Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.
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