Working Student (all genders) Machine Learning

As a Working Student in Machine Learning, you will take on a lot of responsibility right from the start and work in our Software Engineering team on the pre-development of battery management systems (BMS) and support the establishment of a development platform for a battery management system.

Your tasks include:

• Development of machine learning methods for State of Health (SOH) and aging parameter estimation (e.g. internal resistance, capacity) for lithium-ion batteries
• Feasibility studies for anomaly detection of internal short circuit (e.g. lithium plating) to prevent thermal runaway by predictive maintenance measures
• Setting up pipelines to preprocess data from different sources (data logger, vehicle telematics or virtual battery model)
• Support in setting up the development platform for a battery management system (BMS)
• Support in setting up a continuous integration (CI) environment for software test in Model-in-the-Loop (MIL) domain

Your abilities:

• You are currently studying data science, computer science, mechatronics or a comparable course of study
• You have good knowledge in working with common AI tools like Python, TensorFlow/PyTorch or Matlab/Simulink
• You are fluent in English and have a good knowledge of German, knowledge of Chinese is an advantage
• You are independent and communicative, you enjoy working in a dynamic international team

Also for the bachelor or master thesis

You can also perform the listed tasks as part of the final thesis of your studies and learn from experienced software and system engineers in the process!