Contribute to a Master Thesis on Intelligent Transportation Systems
2 weeks ago
Master Thesis Opportunity
NIRA Dynamics is seeking a talented engineering student to collaborate on a Master's Thesis project focused on Intelligent Transportation Systems.
Project Overview
The proposed project aims to develop and validate an algorithm for estimating the absolute vehicle speed using surface-induced noise and cross-correlation techniques. This research involves:
- Literature study and theoretical modeling of the proposed algorithm
- Modeling, signal processing, and algorithm development in MATLAB
- Validating the algorithm using collected data
- C code implementation of the algorithm (optional)
Requirements
We are looking for a motivated engineering student studying a master's program with a specialization in Y, D, M, E, F, Z, or equivalent. Relevant knowledge in the following areas is beneficial:
- Signal Processing
- MATLAB
- Machine learning
- Sensor fusion
- Statistical modeling
- Software development
What We Offer
NIRA Dynamics values diversity and inclusivity. As an employee, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of innovative software solutions for passenger cars. We strive to create a workplace where everyone feels welcome and valued.
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. We believe in making roads safer and more efficient through data-driven innovation.
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