Master thesis - V2X-based Hazard Detection for eBike

About the role

We are looking for a Master’s student to work on a V2X‑based hazard detection system for eBikes at Bosch R&D Center Lund. The project focuses on developing a low‑power, real‑time prototype that can process V2X data and alert riders of approaching vehicles.

Key responsibilities

• Integrate and optimise V2X software to run on Zephyr OS on a constrained microcontroller.
• Develop the “receiving” side of the V2X chain, processing sensor data to detect collision‑course vehicles.
• Implement communication between the eBike visualisation device and V2X hardware via CAN FD or BLE.
• Prototype a functional proof‑of‑concept that triggers warnings on a bike display.
• Benchmark latency, CPU usage and memory footprint to assess production feasibility.

Required profile

• Enrolled in a Master’s programme in Embedded Systems, Computer Science, Electrical Engineering or a related field.
• Strong interest in low‑power embedded development and real‑time systems.

Required skills

• C programming
• Zephyr OS
• CAN FD communication
• BLE (Bluetooth Low Energy)
• Embedded Systems development
• Real‑time Operating Systems concepts