As part of TME R&D organization, the Powertrain Division is responsible for local development of powertrains for vehicles built in one of the TME production plants, and for planning and research of new European technologies. Latest focus points include electrification, big data and connectivity.

Your project

TME R&D is building a strong focus on developing & using Big Data techniques. Such kind of Big Data techniques include AI optimization methods. Included in the Connected powertrain department you will:

• Understand, further develop & improve existing Python algorithms.
• Analyse customer driving and charging style and correlate it to the battery degradation.
• Test methodologies for predicting future usage of BEV vehicles and its impact on battery degradation.

• You are fluent in English (TME’s business language).
• Master of Science or equivalent student (ideally data science/ machine learning/ automotive).
• You have a European EEA citizenship. (not requiring a visa to work in Belgium).
• You must be a student for the entire duration of the internship.
• Knowledge in computer programming, big data, machine learning.
• Basic knowledge of battery system.
• Excellent knowledge of Python & Git.
• Able to summarize and explain complex technical information in a clear and visual way.
• Basic skills with Office suite is a must.

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