Summary from listing
The internship focuses on analyzing vehicle measurement data, developing and validating surrogate models for thermal vehicle systems, supporting thermal management controller development, implementing and evaluating machine learning algorithms in Python, conducting simulations, and analyzing results. It is intended for a student pursuing a relevant degree and requires Python programming, machine learning or data science knowledge, interest in reinforcement learning and AI, analytical ability, and English proficiency. The internship lasts six months, starts immediately, and offers a 35-hour week, paid vacation, and other benefits.
