Master Thesis Researcher
3 weeks ago
Job Description:
We are seeking a highly skilled researcher to join our team at NIRA Dynamics. As a Master's Thesis Researcher, you will be responsible for investigating the detection of bad wheel bearings on vehicles using digital signal processing and sensor fusion techniques.
Key Responsibilities:
- Develop a software solution that automatically detects wheel bearing issues by analyzing CAN bus data and signals from wheel speed sensors.
- Conduct a literature study and theoretical modeling of the proposed algorithm.
- Model, signal process, and develop the algorithm in MATLAB.
- Validate the algorithm using collected data.
- C code implementation of the algorithm (optional).
Requirements:
- Master's degree in a relevant field, such as engineering or computer science.
- Strong background in digital signal processing, sensor fusion, and mechanical modeling.
- Proficiency in MATLAB and C programming languages.
- Excellent problem-solving skills and ability to work independently.
- Driver's license required.
About NIRA Dynamics:
NIRA Dynamics is a leading provider of software solutions for passenger cars. Our Road Surface Information cloud platform aims to improve road safety and comfort by providing a complete view of the road surface and vehicle surroundings.
What We Offer:
- A dynamic and innovative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
How to Apply:
Please submit your application, including a personal letter, CV, and course listing with grades. We will consider applications on a rolling basis.
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