Internships Data science for vehicle strength target setting

In a nutshell

Join Toyota’s Vehicle Performance Engineering team to validate cutting-edge machine learning algorithms that turn big data into real-world vehicle insights—where innovation meets the road!

Company Information

TOYOTA is one of the world’s largest automobile manufacturers and a leading global corporation. Founded in 1937. Toyota now sells vehicles in 170 countries and employs over 350.000 people. Based in Brussels, Belgium, and staffed by 2.700 people and more than 60 nationalities, Toyota Motor Europe (TME) handles the wholesale marketing of Toyota and Lexus vehicles, parts & accessories, and manages Toyota’s European R&D, manufacturing, and engineering operations.

We are excited to be transforming into a mobility company focusing on bringing even more happiness to our customers through various mobility solutions.

Your team and your responsibilities

Team/division description

The Vehicle Performance Engineering division (VPE) is part of R&D at Toyota Motor Europe Technical Centre in Zaventem, Belgium. Our division is in charge of:

Identifying market requirements and trends and turning them into development targets for vehicles and their subsystems

Proposing reasonable designs and structures to achieve the market requirements

Validate the performance of prototypes through physical testing

Researching state of the art and beyond state-of-the-art technologies for implementation in future vehicles

Developing the state-of-the-art methods to set these requirements, predict the performances and validate them

The Reliability & Strength team is responsible for the structural durability and strength of the body-in-white and chassis.

Your project

Within our team, you will work on the validation of an algorithm that detects certain driving events in vehicle big data (i.e. driving over a speedbump) and estimates the forces experienced by the vehicle during these events. As the forces are not measured on the vehicle, they are derived from indirectly correlated sensors through machine learning. Your activities consist of:

Applying the algorithm to existing big data set and determining the location of the events

Setting up a validation experiment at the location derived from big data together with our testing team.

Analysing and comparing the measurement data to the output of the algorithm.

Based on the gathered data, expanding the algorithm to detect other events and classifying them according to their severity.

Your Profile

You are fluent in English (TME’s business language)

You have a background in data analysis and science including machine learning techniques, experience in Python (Scikit-learn, statsmodels, keras,…) is an asset

You have some knowledge of mechanical engineering, testing

You have strong analytical problem solving skills reinforced by good common sense

You are a quick and eager learner with a flexible mind and good eye for details

You are a team player with good communication skills inside a multicultural environment

You are self-organized and can manage your time

Starting date

June

Duration

6 months

Confidentiality

Due to business requirement, not all performed projects can be reflected in the internship report. This issue needs to be discussed with candidate/school in advance.

It is mandatory that applicants are students for the entire period of the internship.

We can only accept students with an EEA or Swiss citizenship (not requiring a work permit or visa to be eligible to perform an internship in Belgium)

We offer

We offer a dynamic multicultural work environment with broad opportunities to learn every day and exciting career pathways that help you explore different disciplines or areas of expertise.

Your benefits

Flexible working hours and hybrid working (homeworking, 10 days from abroad);

Company restaurant – Warm dishes, salads and desserts daily, including Japanese and traditional Belgian specialties, as well as a vegan/vegetarian option;

Sport facilities – Tennis, squash, volleyball, football and softball pitches are available at various Toyota sites;

Team building activities and other personnel related events;

Programs to support your physical and social well-being.

A truly diverse, equitable and inclusive workplace

At Toyota Motor Europe, we are committed to providing equal employment opportunity to all. All our recruitment decisions are based on the individual and their qualifications along with the job requirements. The selection process is without regard to nationality, sexual orientation, gender identity or expression, age, religion, ethnicity, disability or other personal characteristics. We do not tolerate harassment or discrimination as our individual experiences and overall diversity is our key strength. Together we have the power to make a positive change and go beyond the ordinary.

If you need any specific consideration for the interview process due to disability or any other reason, please let the recruiter know.

Internship/Student