Through my work, I contribute to saving resources and at the same time improving company processes.

Final Thesis Efficient Data Encoding for Distributed Smart Sensors - Summer semester 2025

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.
You will explore and apply novel techniques from the latest scientific literature.

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

Note: Applicants (m/f/d) with a severe disability will be given preferential treatment if equally qualified. Should you wish to do so, please indicate your disability status - on a voluntary basis - in your application.

These are your potential benefits

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

Achieve what matters, with Diehl.

Siegel Trendence Professional Ingenieurabsolventen

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

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