Battery Testing Optimization Specialist: Enhancing EV Performance through Machine Learning
vor 2 Wochen
Responsibilities:
- Analyze and adapt data models for battery testing to improve efficiency and accuracy.
- Design and implement a test environment to simulate battery test lab conditions, ensuring reliable and repeatable results.
- Study and apply state-of-the-art machine learning techniques to optimize plant management and battery testing processes.
- Develop and implement prototypes for tasks in the battery testing facility, allocating test equipment effectively.
- Create an agent prototype that interacts with the environment to optimize battery testing.
- Design dashboard prototypes to communicate necessary changes in resource allocation and improve overall efficiency.
Profile:
- Ongoing master study in Computer Science, Telematics, or Physics.
- Strong programming skills in Python, with C# skills a plus.
- Knowledge of machine learning algorithms, reinforcement learning, and data structures.
- Good knowledge of German and English languages.
- Ability to work occasionally at our headquarter in Graz.
What We Offer:
- Opportunity to write your thesis independently with professional guidance and support from our experienced employees.
- Chance to exchange ideas with experts in the company and benefit from their expertise.
- Immerse yourself in the world of AVL and apply your theoretical knowledge in a practical environment.
- Remuneration for the successful completion of the thesis with a one-time fee.
At AVL, we value diversity and celebrate individual perspectives, making us successful in achieving our vision of a greener, safer, and better world of mobility.
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