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Master’s Thesis Adaptive Multi-Modal Sensor Fusion with 5G/6G ISAC

Erlangen, BY, de🌐 Remote💼 Full-time🗓 2026-06-23 → 2026-08-01

Core

Develop adaptive sensor fusion strategies and system-level simulators for Integrated Sensing and Communication (ISAC) in automated driving.

Role type

Master's thesis researcher (ISAC/Sensor Fusion)

Builds

Modular system-level simulators for multi-sensor scenarios

Domain

Automotive, Wireless Communications, Sensor Fusion

Deliverable

research

Required skills

Signal processing, Communications engineering, Sensor fusion, Matlab, Wireless systems (5G/6G), Radar, Perception systems

Preferred skills

Machine learning

Technologies

Matlab

Responsibilities

Analyze ISAC sensing limitations for vehicle perception, design and implement adaptive sensor fusion strategies, compare perception pipelines, conduct simulation experiments under varying conditions, interpret results regarding robustness and trade-offs

Seniority

Master's student (PreMaster level)

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