Optimizing Battery Testing for Electric Vehicles: A Machine Learning Challenge
We are seeking a highly skilled and motivated individual to contribute to the development of novel machine learning algorithms for optimizing battery testing in electric vehicles.
This project involves analyzing and adapting data models for battery testing, implementing a test environment to simulate a battery test lab, and comparing the performance of different machine learning approaches. The successful candidate will have the opportunity to work on a real-world problem with significant industrial relevance and impact.
* Analyze and adapt data models for battery testing
* Implement a test environment to simulate a battery test lab
* Compare the performance of different machine learning approaches
The ideal candidate will have a strong background in computer science, telematics, or physics, and experience with machine learning algorithms. Good programming skills in Python are essential, and knowledge of C# is a plus. Fluency in English is required, and proficiency in German is an advantage.
What We Offer
You will have the opportunity to work on a cutting-edge project with a leading company in the automotive industry. You will receive professional guidance and support from experienced employees, and you will have access to state-of-the-art facilities and equipment.
Requirements
To be eligible for this position, you should have:
* A master's degree in computer science, telematics, or physics
* Good programming skills in Python
* Knowledge of machine learning algorithms
* Experience with data structures and translations
* Fluency in English
* Proficiency in German (an advantage)
If you are a motivated and talented individual who is passionate about machine learning and optimization, we encourage you to apply for this exciting opportunity.