Live opening · Posted 2 days ago
The key details from the original listing.
Description supplied by the original job listing.
High-performance MEMS gyroscopes are essential for modern applications ranging from consumer electronics to robotics. While initial calibration handles manufacturing tolerances, environmental factors such as temperature changes, mechanical stress and ageing can cause performance drift over time. To maintain long-term accuracy, this project focuses on developing, as well as validating efficient, non-intrusive system identification methods.
Instead of relying on complex hardware modifications, as part of your Master thesis, you will explore innovative techniques for injecting test signals directly into the system in order to identify key parameters.
You will develop and evaluate innovative concepts for injecting test signals for in-field parameter identification.
In addition, you will design and set up test scenarios to validate the developed methods.
Last but not least, you will apply your system identification algorithms, benchmark their performance quantitatively and assess their suitability for sensor platforms.
Education: Master studies in the field of Electrical Engineering, Mechatronics, Physics, Embedded Systems, Microsystems Technology or comparable
Experience and Knowledge:
a strong understanding of control systems, signal processing and system identification
experience with laboratory equipment, as well as microcontrollers is a plus
knowledge of MEMS sensor fundamentals or gyroscopes is a major advantage
Personality and Working Practice: you are an enthusiastic and creative individual who is genuinely willing to collaborate with international, as well as interdisciplinary teams
Work Routine: your on-site presence is required
Languages: very good in English
Employment type
Full-time
Work arrangement
No
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