01.03.2026
Master Thesis/ Student Position (m/f/d): Predictive Modelling of Battery Degradation using Data-Driven Machine Learning Methods
Component degradation impacts the reliability, safety, and efficiency of systems across industries, with batteries being a key area where aging reduces capacity and increases failure risks. This thesis aims to apply machine learning to predict battery degradation using sensor data, while also developing a standardized data pre-processing module to improve model accuracy and support better maintenance strategies. Check out the details and come join our team!