Mandatory Internship Data Analysis & ML Model Research for Automotive Systems

• During your internship you will dive deep into large time-series datasets from vehicle measurements to understand underlying patterns, distributions, and characteristics of vehicle power consumption.
• Furthermore you will develop as well as implement robust scripts and workflows for cleaning, transforming, and preparing the raw data into a structured format suitable for ML model training.
• You will identify and create meaningful features from the time-series data that will enhance the performance of a future generative model.
• Gain experience in conducting a comprehensive literature review and comparative analysis of state-of-the-art machine learning models for synthetic time-series generation (eg, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), RNNs, Transformers).
• Lastly you will conclude your internship by preparing a detailed report and presentation that summarizes your data findings and provides a well-reasoned recommendation for the most promising ML model architecture and data strategy to be pursued in the next phase.

• Education: studies in the field of Electrical Engineering, Data Science, Computer Science, Statistics, or comparable with a strong analytical focus
• Experience and Knowledge: good programming skills in Python or Matlab and experience with data analysis libraries such as Pandas, NumPy, and Matplotlib/Seaborn; A solid theoretical understanding of data analysis techniques and fundamental machine learning concepts; A keen interest in researching and comparing different algorithmic approaches; First-hand experience with ML frameworks (eg, scikit-learn, TensorFlow, PyTorch) is a plus; Familiarity with time-series data analysis
• Personality and Working Practice: you are able to analyze situations in depth and investigate complex relationships; you approach problems in a structured and methodical way to find effective solutions; you work independently and always document your results clearly and comprehensibly
• Work Routine: office attendance required
• Languages: business fluent in English or/and German

For data protection reasons, applications are only accepted via our application portal. We regret that we cannot consider applications submitted by email or post.