Master's Thesis: AI-Based Sensor Replacement in an Electromechanical Brake Control System
vor 1 Woche
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
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