Toyota Motor Europe R&D Centre is responsible for: Developing vehicles and making concept proposals for European core models. Reflecting EU technologies to Toyota vehicles timely by utilizing strong network with European partners. The Material Engineering division (MED) is part of the R&D group at Toyota Motor Europe Technical Centre in Zaventem, Belgium. By utilization of wide and deep material knowledge as well as evaluation & analysis capability, its mission is to conduct research, to develop and to introduce attractive & environment-friendly materials. Material Engineering 2 department in MED is responsible for advanced material research for quantum sensor and materials, carbon neutrality, hydrogen economy and new clean mobility. Your project Material Engineering 2 is looking for a motivated student to apply Data Driven Research methods in field of material engineering. The goal is to deploy advanced data analysis methods such as machine learning to various research projects to gain additional insights and accelerate the development. You will be responsible for identifying suitable approaches for data generation (e.g. image analysis), collection and analysis. The tasks will be performed using Python and internally available analysis tools. You will work in close collaboration with several engineers, each responsible for battery, fuel cell, exhaust gas catalyst or similar material development. You are fluent in English (TME business language) You have Masters in Computer engineering, Material engineering, Material informatics, or equivalent specialization You have good knowledge/experience machine learning You have strong Python programming skills Open personality and flexible team player Hands-on approach is desired 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)