[R2504] Battery Design Research Utilizing Digital Tools (General Manager Level)

Background

Since launching the Leaf in 2010, Nissan Motor has been leading the industry as a pioneer in zero-emission vehicles. Among these, batteries are a crucial component that determines vehicle performance. To respond to the expanding electric vehicle market and increasingly strict regulations, it is necessary to rationalize EV and battery development and enhance competitiveness. For this purpose, it is required to perform battery design and related performance predictions as much as possible digitally. Furthermore, battery design must consider not only performance and structural design but also secondary use and recycling.

Job Responsibilities

It is necessary to rationalize battery development and design and enhance competitiveness. For this purpose, it is required to utilize digital tools as much as possible for battery design and related performance predictions.

Your responsibilities will include developing models (theoretical models or data-driven machine learning models) that can digitally design and predict battery performance (durability, safety, rate characteristics) and manufacturing processes to achieve vehicle performance requirements.

Specifically, you will work on the following:

• Durability design of advanced lithium-ion secondary batteries (liquid LiB) (e.g., life prediction for 10 years/240,000 km driving) using modeling (theoretical models or data-driven machine learning models) and experimental verification.
• Modeling (as above) and experimental verification regarding safety, rate characteristics, and manufacturing processes.
• Modeling and experimental verification of changes in cell structure and mechanical properties due to charge/discharge and degradation.
• Updating and verifying the above models for application to future battery types (e.g., all-solid-state batteries and Post lithium-ion secondary batteries).

Regarding the workplace environment and working style, the team consists mainly of young members, with many mid-career hires, and you can take leadership as an immediate asset in your specialized field. The office has also been renovated to a cutting-edge atmosphere, creating a vibrant workplace that balances research work in the laboratory and remote work.

Appeal Points

To incorporate cutting-edge digital tools such as computational science, modeling/simulation, and machine learning into design, there are numerous opportunities for collaboration with domestic and international universities and suppliers, providing an environment where you can discuss on equal terms with cutting-edge researchers and engineers using English. Furthermore, for in-vehicle applications, there is also cooperation with system and vehicle development departments, allowing you to be involved in a wide range of global and business areas, even as a research institute. In addition, our institute has a support system for working professionals pursuing doctorates, offering an optimal research environment for those who wish to further their skills. In the future, there are opportunities for overseas assignments and study abroad, allowing you to aim to be a leader in the industry in terms of technology.

Required Qualifications

Required (MUST)

• Practical experience in model development using machine learning/AI technology
• Programming experience in Python, Java, C++, R, etc.
• Basic knowledge of data analysis/statistical analysis
• Team development experience and communication skills
• TOEIC: 600

Desired (WANT)

• Basic knowledge and development experience related to batteries (lithium-ion batteries, all-solid-state batteries, etc.)
• Experience in battery prototyping, evaluation, and analysis
• Work experience using electrochemical models (e.g., Newman model)
• Background in chemistry, materials engineering, physics, etc.
• Experience in researching and summarizing papers/technical documents
• English proficiency for global R&D (basic technical communication skills)
• TOEIC: 730

Desired Candidate Profile

• Individuals who can positively challenge difficult problems
• Individuals with high aspirations and a strong desire for self-improvement
• Individuals who can communicate smoothly with internal and external stakeholders
• Individuals who value teamwork and can lead by bringing together those around them

Annual Salary

Monthly Salary (Reference Value)

323,000 JPY to 439,000 JPY

• Determined comprehensively based on experience and expertise.

Estimated Annual Income (Reference Value)

Approximately 5.89 million JPY to 7.66 million JPY

• Monthly salary x 12 months + Bonus (estimated value)
• Bonus amount is a reference value; actual payment timing, amount, and conditions will be determined separately.

• Overtime allowance, etc., will be paid separately based on employee wage regulations.