Internship: Battery Characterization

This internship is aiming for the implementation of an automated battery characterization setup and the analysis of the measured battery data. Battery packs, consisting of up to hundreds of individual battery cells, are used to power electric vehicles. Each battery cell has to be monitored continuously by a battery management system in order to ensure safe and efficient vehicle operation. The foundation for each battery management system is a comprehensive dataset that links the measured battery data to the actual state of the battery. In order to be able to create this dataset, an automated battery characterization setup should be implemented and the measured battery data analyzed. Results will help in the design of future battery management systems.

In your new role you will:

- Learn about **batteries **and battery monitoring methods
- Improve your skills in **instrumentation **automation **and **measurement **data analysis**:

- Document your results by writing and present your findings

**Further Information**
Type of employment: Temporary / Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: min. 6 months

You successfully meet the requirements, if you are a motivated and committed student from the field of **Biomedical Engineering, Electrical Engineering, Information and Computer Engineering **or similar. You are best equipped for this task if you additionally have knowledge and interest in:

- Electrical **measurements **of batteries
- Instrumentation automation with MATLAB/Python/proprietary software
- **Data processing **and **signal processing **in MATLAB/Python
- Basic electronic **circuits **and PCB debugging
- Motivation letter
- CV
- Certificate of matriculation at a university
- Latest Transcript of records (not older than 6 months)
- Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
- Reference letter (optional)

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