Final Thesis Efficient Data Encoding for

vor 2 Monaten


Nürnberg, Deutschland Diehl Group Vollzeit

**These are your tasks**:

- Investigate Data encoding techniques in the context of sensor data.
- You will be responsible for developing prototype algorithms for data driven compression techniques (lossy and lossless).
- Specifically address the sensorics context, focusing on sensor data from low-power devices.
- Investigate systematically accuracy of the encoding strategy that you defined.

**Who we are looking for**:

- You are pursuing a degree in Computer Science, Physics, Mathematics, Electrical Engineering or a related field.
- You have solid experience with Python, prior experience in microcontroller programming is a plus.
- Strong knowledge in statistical data analysis and a solid foundation in signal processing are essential.
- You have excellent English language skills; proficiency in German is a plus.
- Self-management, communication skills, and the ability to work independently complete your profile.
- Work location: Nuremberg
- Job Level:

- Thesis
- Working time: Full time
- Employment contract: 6 months
- Division: Diehl Metering
- Start: Summer semester

**These are your potential benefits**:

- Good traffic connections
- Flexible working hours
- Onboarding program
- Family-owned company
- Canteen

**Achieve what matters, with Diehl.**:

- Diehl Metering GmbH
Theresa Winner
Tel: +49 911 6424 414



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