Vehicle noise testing & machine learning engineer

Nissan Motor Corporation; Barcelona; Hybrid; EUR 12,000 - 17,000; Part time

Benefits offered by this job

Гибридный формат работы

Job summary

Nissan Motor Corporation ищет стажера для команды NVH. Вас ждёт участие в развитии моделей шумности шин, обработке тестовых данных и внедрении цифровизации процессов NVH.

Требуется знание машинного обучения, Python и английский язык. Ожидается обучение по договору с вузом, гибридный формат работы и компенсация на период стажировки.

Qualifications

• Знание методов машинного обучения и концепций ИИ.
• Программирование на Python или аналогичном языке.

Responsibilities

• Разработка предиктивной модели для оценки шума шин по параметрам теста: давление, жесткость, скорость, температура и пр.
• Оптимизация внутреннего RAG-приложения за счет добавления новых технических параметров.
• Анализ и обработка данных испытаний автомобиля.
• Разработка предиктивных моделей для оценки шумового поведения.
• Изучение влияния параметров шин и автомобиля на внешний шум.
• Создание удобного интерфейса, позволяющего инженерам моделировать шум шин по разным спецификациям и условиям эксплуатации.
• Содействие цифровизации и оптимизации NVH-процессов

Skills

Machine Learning

AI concepts

Data analysis

Fluent English

Education

Bachelor's or Master's degree

Tools

Python

Job description

Описание

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.

Задачи

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. 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.

Требования

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). 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.

Условия

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.