Objective

To identify metric deviations in vehicle reports that can be excluded from further processing, or to discover emerging data trends that require validation and integration into our current products.  

Keywords: Algorithm Development, Machine Learning, Signal Processing, Data Mining

Summary

We currently gather real-time data from millions of connected vehicles worldwide. This data is crucial for our Road Surface Information products, where we refine it by combining it with other data like weather and maps. This vehicle data includes road surface information generated by NIRA software integrated into each car in our connected fleet. 

To ensure the quality of our data, it's crucial to address inaccuracies generated by these vehicles. However, identifying and rectifying these inaccuracies can pose challenges. Therefore, employing approaches like machine learning, signal processing, and statistical methods could be beneficial in detecting abnormalities in the vehicle reports. Once these issues have been pinpointed, we can systematically eliminate them from our processing pipeline, ultimately improving the quality of our Road Surface Information products. 

Scope

• Algorithm development and modelling using snapshots of our live production data.  
• Backend implementation and validation using our live production data. 

Your profile

We are looking for an engineering student who is studying a master's program D, U, Y or equivalent. Knowledge within any of the following areas is beneficial:

• Data Science
• Software development 
• Machine learning 
• Signal Processing 
• Statistical methods  
• Stream Processing 

We expect you to have a strong academic record and that you are driven, can take initiative, and work independently. The project will be carried out at our head office in Linköping.

Looking forward to your application! Do not forget to include a personal letter, CV, and course listing with grades. Applications are considered on a rolling basis. The earliest expected start date is January 2024. Finally, NIRA always strives for competitive compensation for all Master Thesis projects conducted in collaboration with us.

About NIRA

We at NIRA believe in making roads safer by developing sophisticated software solutions for passenger cars. The Road Surface Information cloud platform is a family of products with a common aim of improving the safety and comfort of our roads. The main input is data from millions of cars carrying NIRAs sensor fusion algorithm and based on the output and our cloud algorithms we are providing a complete view of the state of the road surface and vehicle surroundings in our cloud applications.

You are welcome to NIRA for who you are, no matter where you come from or what kind of mode of transportation you prefer. Our work on future services focuses on all modes of transportation for everyone, and so is our workplace. The more diverse experience we have, the more brilliant we will be in charging towards a sustainable transportation system.