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Master Thesis Opportunity
2 months ago
We are seeking a highly motivated and skilled engineering student to join our team at NIRA Dynamics and contribute to the development of a cutting-edge software solution for detecting wheel bearing issues in vehicles.
Project Overview
The proposed algorithm will analyze CAN bus data and signals from wheel speed sensors to provide a reliable and cost-effective approach to early fault detection. This research aims to improve vehicle safety and performance while reducing maintenance costs.
Key Responsibilities
- Conduct a literature study and theoretical modeling of the proposed algorithm
- Develop and implement the algorithm in MATLAB
- Validate the algorithm using collected data
- Implement the algorithm in C code (optional)
Requirements
- Master's program in a relevant field (e.g., Y, D, M, E, F, Z, or equivalent)
- Knowledge in signal processing, MATLAB, machine learning, sensor fusion, statistical modeling, or software development
- Driver's license required
About NIRA Dynamics
We believe in making roads safer by developing sophisticated software solutions for passenger cars. Our Road Surface Information cloud platform provides a complete view of the state of the road surface and vehicle surroundings. We welcome diverse perspectives and experiences to advance a sustainable transportation system.
