Data Science for Strenght and Durability Internship
il y a 1 mois
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 development of an algorithm to detect certain driving events in big data (e.g., driving over a speedbump) and estimate the forces experienced by the vehicle during these events. As the forces are not measured on the vehicle, they will need to be derived from indirectly correlated sensors through machine learning.
- Collect training data to develop the algorithm in a measurement campaign together with our vehicle testing team.
- In collaboration with our simulation team, enrich the data using multi-body dynamics simulations.
- Train and test the algorithm.
Want to know more about how it is to work at Toyota? Check-out Working at Toyota Motor Europe Or Meet the people working at Toyota Motor Europe
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 basic 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
**Place of employment**
- Belgium - Brussels (Zaventem): Toyota Motor Europe, Technical Centre
**Starting date**
- 13 May 2024
**Duration**
- 6 months
**Confidentiality**
**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**
Please check our Career and Benefits page.
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.
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