Student (m/f/d) for a final thesis Efficient Data Encoding for Distributed Smart Sensors – summer semester 2025

DIEHL Metering GmbH • Other • Nürnberg • 2d ago

Digital transformation. Sustainability. Peacekeeping. Exciting tasks that we at Diehl are working on intensively with our five corporate divisions Metal, Controls, Defence, Aviation and Metering and our more than 16,000 employees. Discover fascinating technologies and apply. In a family-run company characterised by trust and courage, which is consistent and stable – by tradition.

For the summer semester 2025, our site Diehl Metering GmbH in Nuremberg is looking for a:

Student (m/f/d) for a final thesis Efficient Data Encoding for Distributed Smart Sensors

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 sensory context, focusing on sensor data from low-power devices.
Examine systematically the accuracy of the encoding strategy that you defined.
You will explore and apply novel techniques from the latest scientific literature.

You are pursuing a degree in Computer Science, Physics, Mathematics, Electrical Engineering or a related field.
You have know-how in working 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.
Your English is fluent, German language skills are a plus.
Self-management, communication skills, and the ability to work independently complete your profile.

Tariff compensation
Flexible working hours
Onboarding program
Family-owned company
Canteen

Note: Applicants 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.

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