Master Thesis, R&D - WiFi Sensing Signal Processing (m/f/d)

Robert Bosch GmbH · Regensburg

ThesisGerman needed: fluent

Still open on 10 Nov

You apply on the company's own website.

Key facts

Language needed: German and English
Subject you study: Electrical Engineering, Communications Engineering, Computer Science, Technical Computer Science, Physics

Literature research on known and established signal processing methods
Design and implementation of methods for signal cleaning, noise suppression and phase calibration, etc.
Development of algorithms (signal processing or ML approaches) for robust detection of defined state and movement patterns
Systematic benchmarking of the algorithms for detection accuracy, robustness and computing effort
Documentation of results and derivation of recommendations for later firmware integration

Master's studies in electrical engineering, communications engineering, computer and communication technology, technical computer science, physics or similar
Knowledge of digital signal processing (filter design, spectral analysis, phase cleaning)
Very good programming skills in Python (NumPy, SciPy), MATLAB
Experience in statistical pattern recognition or machine learning
Basic knowledge of WLAN standards and radio transmission (OFDM, subcarrier structure etc.) and very good German and English skills

Literature research on known and established signal processing methods
Design and implementation of methods for signal cleaning, noise suppression and phase calibration, etc.
Development of algorithms (signal processing or ML approaches) for robust detection of defined state and movement patterns
Systematic benchmarking of the algorithms for detection accuracy, robustness and computing effort
Documentation of results and derivation of recommendations for later firmware integration

Master's studies in electrical engineering, communications engineering, computer and communication technology, technical computer science, physics or similar
Knowledge of digital signal processing (filter design, spectral analysis, phase cleaning)
Very good programming skills in Python (NumPy, SciPy), MATLAB
Experience in statistical pattern recognition or machine learning
Basic knowledge of WLAN standards and radio transmission (OFDM, subcarrier structure etc.) and very good German and English skills