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

Knorr Bremse Group; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading engineering company in Germany offers a master’s thesis for students in Computer Science, Physics, or Electrical Engineering. The thesis will explore replacing a physical sensor in an electromechanical brake control system with an AI-supported model. Responsibilities include understanding the sensor's role, collecting data, training AI models, and evaluating performance. Strong programming skills in Python and C, along with proficiency in English and German, are required.

Qualifikationen

• Strong analytical thinking and problem-solving skills.
• Independent, structured, and reliable working style.

Aufgaben

• 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.

Kenntnisse

Programming skills in Python

Programming skills in C

Proficient in English

Proficient in German

Analytical thinking

Problem-solving skills

Ausbildung

Enrolled in a Master’s program in Computer Science, Physics, or Electrical Engineering

Jobbeschreibung

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!