Main Objective:
Based from multiple test data (Tyre noise, pressure, stiffness, veh speed, ambient temp ....) it is proposal to find a prediction method which can be identified the tyre noise efect according the main factor of the test data contributor.
How: Using the machining learning and AI tools It is required to create an interface where to be possible to find tyre noise after modification of the key factors of the tyre spec.
We are looking for:
- High knowledge of machining learning and AI tools.
- Knowledge of programming software (Phyton and similar.)
- Mathematics method for control system applications.
- Fluence on English language.
- An interesting traineeship and the chance to get an insight to the automotive industry.
- A truly international and diverse working environment with nationalities from all over the globe.
It will be valued an engineer from IOC who wants to realize a final grade or Master project.
Main activity will be done by remote (by teams) and ocasionally by phase to phase in NTCEs office.
We look forward to receiving your application!
At Nissan, we believe that the differences among us - differences in race, gender, age, mindset, religion, people with disabilities and much more - make us stronger and equip us to better serve our customers and communities. We are committed to creating positive change that ensures transparency and inclusivity throughout the career journey, in order to build teams that create a sense of belonging for all members
Barcelona Barcelona Spain
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