Hybrid NVH ML Engineer Intern — Tyre Noise & Modeling

Nissan Motor Corporation; Barcelona; Hybrid; EUR 10,000 - 15,000; Part time

Benefits offered by this job

Hands-on internship

Hybrid work model

Financial compensation

Thesis/project opportunity

Multicultural environment

Job summary

Nissan Motor Corporation in Barcelona is seeking a motivated student for a Vehicle Noise Testing & Machine Learning Engineer internship within the NVH Team. You will analyze tyre noise data, build predictive models, and explore how tyre and vehicle parameters affect exterior noise, while developing a user-friendly interface for simulations.

The role offers hybrid work, exposure to cutting-edge automotive tech, and a platform for Bachelor’s/Master’s final projects.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s Degree and able to establish an internship agreement.
• Strong interest in applying ML/AI to real engineering challenges.

Responsibilities

• Analyse and process vehicle test data.
• Develop predictive models to estimate tyre noise.
• Investigate the influence of tyre and vehicle parameters on exterior noise.
• Build an intuitive interface to simulate tyre noise under different specifications and operating conditions.
• Contribute to the digitalisation and optimisation of NVH engineering processes.

Skills

Machine Learning concepts

Data analysis methods

Mathematical modelling

English fluency

Python programming

Tools

Python libraries (NumPy, scikit-learn)

Job description

Nissan Motor Corporation in Barcelona is seeking a motivated student for a Vehicle Noise Testing & Machine Learning Engineer internship within the NVH Team. You will analyze tyre noise data, build predictive models, and explore how tyre and vehicle parameters affect exterior noise, while developing a user-friendly interface for simulations.

The role offers hybrid work, exposure to cutting-edge automotive tech, and a platform for Bachelor’s/Master’s final projects.