Call for Master’s Thesis Candidates

Efficient Real-Time V2X Data Transmission and Object Extraction

Chair of Robotics, Artificial Intelligence and Real-time Systems
TUM School of Computation, Information and Technology

Project Description

You will develop an integrated, real-time pipeline that fuses camera, LiDAR, and radar data to generate detailed object lists and optimize V2X data transmission. The project focuses on reducing end‐to‐end latency below 100 ms through adaptive compression and error‐correction techniques, ensuring high‐fidelity sensor information is delivered for timely decision‐making in connected and autonomous vehicles.

Your Tasks

• Design and implement a modular, low‐latency server‐side architecture in C++ and Python
• Integrate sensor fusion algorithms to combine multi‐modal data streams
• Develop adaptive compression and error‐correction modules
• Optimize data serialization and secure V2X communication protocols
• Benchmark system performance and validate under real‐world and simulated conditions

Your Profile

• Enrolled in a Master’s program (Computer Science, Electrical Engineering, Robotics or related)
• Strong C++ and Python programming skills, with real‐time systems experience
• Familiarity with data compression, serialization, and network protocols
• Knowledge of sensor fusion techniques and V2X standards (DSRC, C‐V2X)
• Experience with machine learning or computer vision frameworks is a plus
• Self‐motivated, detail‐oriented, and able to work both independently and in a team

We Offer

• Hands-on research in cutting-edge V2X and autonomous driving technologies
• Access to high-end sensor hardware and simulation platforms
• Close supervision by Prof. Dr.-Ing. habil. Alois C. Knoll and M.Sc. Kuo-Yi Chao
• Opportunities to co-author publications and present at conferences
• Flexible work schedule and a collaborative lab environment

How to Apply

Please send the following documents as a single PDF to kuoyi.chao@tum.de with the subject line “Master’s Thesis Application – Efficient Real‐Time V2X Data Transmission”:

1. Curriculum vitae
2. Transcript of records
3. Brief motivation letter (max. 1 page)

Review of applications begins immediately and continues until the position is filled. We look forward to your application!