Driving behaviour analysis using advanced data analytics of sensor data

Key words

Data analytics, Automotive, C, Embedded systems, Machine learning.


You are:

  • A bright individual and master student in Computer Science, Embedded systems, Machine learning or equivalent.
  • A result-driven and product-oriented aspiring Data Scientist ready to take on new challenges
  • Spending your free time on personal projects and have programming experience (C is a plus)

…and you find satisfaction in delivering a product that significantly impacts the users as well as the society in a positive way.


Your mission:

To push the boundaries of driver behaviour analysis in special vehicles by utilizing advanced data analytics and sensor data.


Your goals:

Design an advanced driving analytics feature by:

  • Identifying and quantifying the key metrics of the driving quality of special vehicles and transportation vehicles,
  • Rigorously analysing these metrics and their estimation during runtime
  • Making data-driven decisions and optimizing the driving quality estimation to deliver the best feedback to the user
  • Implementing the result of a theoretical modelling in the EVAM firmware

Hardware platform as well as a basic firmware will be provided.


The parts about us:

We are a team of 8 passionate engineers on a mission to change the way special vehicles operate by digitalizing the special vehicles market. EVAM is a 3-year old start-up approaching a global market with customers across the world.


Or know somebody that would be perfect for the task? Let us know!

Financial compensation will be given for the master thesis.

Any questions? – Get in touch!

Florian Curinga

Head of Software Engineering