Vehicle Noise Testing & Machine Learning Engineer, Trainee
At a glance
Junior Machine Learning Engineering role at Nissan. Barcelona ZF · part-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Prepare vehicle test data and use it to build models that estimate tyre noise
- Study how tyre and vehicle conditions affect exterior noise performance
- Create an interface for engineers to test noise estimates across tyre specifications and operating conditions
- Add historical vehicle-development parameters to the internal RAG application and support NVH process digitisation
What you bring
- You are enrolled in a bachelor's or master's degree and can arrange an internship agreement with your university
- You bring machine learning and AI knowledge, plus programming ability in Python or a comparable language
- You understand mathematical modelling and data analysis, and can work fluently in spoken and written English
Who this fits
This trainee internship suits a student applying machine learning to vehicle engineering, including a bachelor's final project or master's thesis. The role is based in Barcelona and combines remote work with time at NTCE facilities.
From the employer
🚗 Vehicle Noise Testing & Machine Learning Engineer, Trainee
Are you passionate about automotive innovation, machine learning, and AI? Ready to apply your skills to real-world engineering challenges in a global company? Nissan is looking for a proactive and curious intern to join our NVH (Noise, Vibration & Harshness) Team.
🎯 Your Mission
Support the development of a predictive model to better understand and estimate tyre noise based on key test parameters such as:
- Tyre pressure / stiffness / Vehicle speed / Ambient temperature / and other relevant vehicle and test conditions.
To optimize the internal RAG application adding new technical parameters based on the history vehicle development key data.
Using Machine Learning and AI tools, your goal will be to:
- Analyse and process vehicle test data.
- Develop predictive models to estimate tyre noise behaviour.
- Investigate the influence of different tyre and vehicle parameters on exterior noise performance.
- Build an intuitive interface that enables engineers to simulate tyre noise based on different tyre specifications and operating conditions.
- Contribute to the digitalisation and optimisation of NVH engineering processes.
👀 We're Looking For a Motivated Candidate With:
- Strong knowledge of Machine Learning and AI concepts and tools.
- Programming skills in Python or similar languages.
- Solid understanding of mathematical modelling and data analysis methods.
- Interest in applying technology to real engineering challenges.
- Fluency in English (spoken and written).
🌍 What We Offer
- A hands-on internship with exposure to cutting-edge automotive technologies.
- The opportunity to work on a real project with direct impact on vehicle development.
- A multicultural and inclusive work environment with colleagues from around the world.
- Flexibility through hybrid working, combining remote work and collaboration at NTCE facilities.
- Financial compensation during the internship period.
- An excellent opportunity for students completing their Bachelor's Final Project or Master's Thesis.
🎓 To join this internship experience, you must be currently enrolled in a Bachelor's or Master's Degree and able to establish a university internship agreement with your academic institution.
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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