Masterarbeit Deep Learning auf multivariaten Zeitreihendaten im Motorradbereich
Core
Master's thesis on applying deep learning to multivariate time series data from motorcycle test rides to predict driving states and reduce accident risk.
Role type
Master's thesis researcher (deep learning, time series)
Builds
Driving state prediction models and explainable AI insights for future motorcycle safety and assistance systems
Domain
Automotive safety / Deep learning / Time series analysis
Deliverable
production ML models
Required skills
multivariate time series analysis, deep learning (Sequence-to-Sequence), explainable AI (XAI), Python programming, data preprocessing
Preferred skills
C/C++ programming
Responsibilities
preprocess and structure empirical motorcycle test data, implement and validate deep learning models for pattern recognition and state estimation, evaluate model interpretability using XAI methods
Seniority
Master's student (research project)
