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An exciting opportunity awaits at an innovative automotive company for a trainee in NVH Vehicle Exterior Noise & AVAS testing. This role focuses on leveraging machine learning and AI tools to develop predictive methods for tyre noise based on various test data factors. Join a diverse team and gain valuable insights into the automotive industry while working remotely and occasionally in-person. This position is ideal for undergraduate students looking to support their studies while engaging in impactful projects. If you're passionate about technology and eager to learn, this traineeship is perfect for you.
We are now looking for an active person to join our team as: NVH Vehicle Exterior Noise & AVAS Test & Planning Engineer, trainee.
Main Objective:
Based on multiple test data (Tyre noise, pressure, stiffness, veh speed, ambient temp…), it is proposed to find a prediction method which can identify the tyre noise effect according to the main factors of the test data contributors.
How: Using machine learning and AI tools, it is required to create an interface where it is possible to find tyre noise after modification of the key factors of the tyre specification.
We are looking for:
What we offer:
An interesting traineeship and the chance to gain insight into the automotive industry.
A truly international and diverse working environment with nationalities from all over the globe.
This traineeship is for an undergraduate student to be completed to support their studies. Compensation will be provided.
It will be valued for an engineer from IOC who wants to realize a final grade or Master project.
Main activities will be done remotely (via Teams) and occasionally in-person at NTCE's office.
We look forward to receiving your application!