Master’s Thesis Adaptive Multi-Modal Sensor Fusion with 5G/6G ISAC
HybridErlangen, Bavaria, Germany
EXPIREDErlangen, Bavaria, GermanyHybridFull TimeMasters DegreeSmall
Full TimeMasters DegreeSmall
Job Summary
Analyze ISAC sensing limitations for vehicle environment perception and develop a modular system-level simulator using Matlab. Design and implement adaptive sensor fusion strategies, including modality weighting and switching, while comparing perception pipelines ranging from radar-based to ISAC-enabled approaches. Conduct simulation experiments under varying environmental conditions and interpret results regarding robustness, reliability, and system-level trade-offs. This 6-month master's thesis requires enrollment at a university and solid knowledge of signal processing, communications engineering, or sensor fusion.
Required Qualifications
- Master studies in Electrical Engineering, Communications Engineering, Robotics, Computer Science, or related fields
- solid knowledge of signal processing as well as communications engineering or sensor fusion
- experience with Matlab or comparable simulation tools
- understanding of wireless systems (5G/6G), radar, or perception systems
- very good in English
- Requirement for this thesis is the enrollment at university
- Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit
Desired Qualifications
- knowledge of machine learning is an advantage
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