Description
Matlab,Simulink,Python,Timeseries,Vehicle dynamics,AI,Machine LearningFor the past five years, we have been developing Virtual Sensors capable of replacing physical sensors in cars. These sensor models are built using a variety of techniques, including statistical, genetic, physical, and AI approaches. This means car companies can now save on expensive hardware by using our software, while offering new services and functionalities like health monitoring.
With the upcoming Software Defined Vehicle revolution and increased data availability, a new field of possibilities has opened up. Will you help us build the next generation of models that assess precise loads on components using indirect measurements (tires, brakes, suspension, power electronics, battery, etc.)? Will you use your system understanding and signal processing techniques to achieve the highest precision and ultimately see your work implemented in cars on the street?
If you want to be a part of the digital transformation of the automotive sector, this may be the job for you!Here is what we think someone would need for this role:
Our Virtual Sensors technology is already used or will soon be implemented by many major players in the transportation industry. This is a great opportunity to play a role in this sector’s transformation and take on exciting challenges.
With the upcoming Software Defined Vehicle revolution and increased data availability, a new field of possibilities has opened up. Will you help us build the next generation of models that assess precise loads on components using indirect measurements (tires, brakes, suspension, power electronics, battery, etc.)? Will you use your system understanding and signal processing techniques to achieve the highest precision and ultimately see your work implemented in cars on the street?
If you want to be a part of the digital transformation of the automotive sector, this may be the job for you!Here is what we think someone would need for this role:
- Graduate in electronics, mechatronics, mechanical engineering or similar education
- Experience in signal processing for timeseries in time and frequency domain
- Experience with modelling and system-based approaches
- Experience with Python and/or Matlab/Simulink
- Knowledge about vehicle technology is highly appreciated
- Knowledge about Machine Learning and durability engineering is an asset
Our Virtual Sensors technology is already used or will soon be implemented by many major players in the transportation industry. This is a great opportunity to play a role in this sector’s transformation and take on exciting challenges.
COMPREDICT
Artificial Intelligence (AI)
Automotive
Big Data
Information Services
Information Technology
Predictive Analytics
Sensor
Software
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