System Modelling Expert for HV Battery Failures
Vor 5 Tagen
About the Role:
We are seeking a highly motivated and skilled individual to join our team as a System Modelling Expert for HV Battery Failures. As a key member of our team, you will be responsible for reviewing state-of-the-art system modeling approaches for automotive batteries, investigating fundamental processes during thermal runaway, and developing mathematical and computational system models for battery thermal runaway behavior.
Your Responsibilities:
- Review and analyze existing system modeling approaches for automotive batteries
- Investigate the predictability of thermal runaway processes using experimental data
- Develop and implement mathematical and computational models for battery thermal runaway behavior
- Compare and validate the developed models using statistical methods
Your Profile:
To be successful in this role, you will need to have:
- Ongoing master studies in technical or natural sciences (physics, mathematics, or similar)
- Basic knowledge of system modeling languages and software (SysML, Modelica, etc.)
- Good proficiency in mathematical statistics
- Experience in applying data science methods is a plus
- Highly developed quality awareness with strong attention to details
- High level of self-reliance with the ability to work in a team and autonomously
- Fluent English language skills are essential, fluent German is beneficial
What We Offer:
- Opportunity to write your thesis independently with professional guidance and support
- Chance to exchange ideas with experts in the company and benefit from their expertise
- Chance to immerse yourself in the world of AVL and apply your theoretical knowledge in a practical environment
About AVL:
At AVL, we foster and celebrate diversity. We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As an Equal Opportunity Employer, we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation, or disability status.
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