Master's Thesis: AI-Based Sensor Replacement in an Electromechanical Brake Control System (m/f/d)

Master's Thesis: AI-Based Sensor Replacement in an Electromechanical Brake Control System (m/f/d)

ON-SITE/REMOTE: Hybrid

We are offering a master’s thesis opportunity for a motivated and talented student to explore the potential of replacing a physical sensor in an electromechanical brake control system with an AI-supported model. The goal of this thesis is to evaluate the technical feasibility, performance, and safety implications of such a replacement, using real-world data and simulation environments.

YOUR TASKS

• Understanding the role and characteristics of the target sensor within the brake control system
• Collecting and analyzing sensor data to identify patterns and dependencies.
• Designing and training AI models (e.g., regression, neural networks) to replicate sensor behavior
• Evaluating model performance under various operating conditions
• Assessing the reliability, latency, and safety aspects of the AI-based approach
• Documenting findings and providing recommendations for potential integration

YOUR PROFILE

• Enrolled in a Master’s program in Computer Science, Physics, or Electrical Engineering
• Programming skills in Python and C
• Proficient in English and German
• Strong analytical thinking and problem-solving skills
• Independent, structured, and reliable working style

Come and join our team!

Let’s shape the future of mobility together!

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