Master Thesis Researcher

4 weeks ago


Linköping, Östergötland, Sweden NIRA Dynamics Full time
Master's Thesis Opportunity

We are seeking a highly motivated and skilled engineering student to join our team at NIRA Dynamics for a Master's Thesis project.

The project will focus on developing a novel method to estimate the absolute vehicle speed using cross-correlation techniques. The goal is to improve the accuracy of indirect tire pressure monitoring systems (iTPMS) in modern vehicles.

The successful candidate will have a strong background in signal processing, MATLAB, and machine learning. Knowledge of sensor fusion and statistical modeling is also beneficial.

The thesis will involve a literature study, theoretical modeling, and algorithm development in MATLAB. The candidate will also be responsible for validating the algorithm using collected data and implementing the algorithm in C code (if time allows).

We offer a dynamic and inclusive work environment where you can contribute to making roads safer through sophisticated software solutions.

To be considered, please submit a personal letter, CV, and course listing with grades. We will review applications on a rolling basis.



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