Research and assessment of current scientific literature on modern algorithms and methods
Examination of relevant techniques in statistical signal processing and machine learning
Development and implementation of methods for automated system analysis
Identification and definition of relevant software data for automated system analysis
Creation of visualizations and charts of analysis results, e.g., in Databricks dashboards
Presentation and documentation of results

Enrolled student (m/f/d) in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a comparable degree program (ideally at Master's level)
Knowledge of algorithms in statistical signal processing and machine learning
Programming experience in SQL, MATLAB/Simulink, Python, or C, as well as practical experience with AI tools
Strong interest in automation and data-driven workflows, with a creative and innovative mindset
Analytical and structured working style with a pragmatic, solution-oriented hands-on mentality
Reliable personality with strong teamwork skills, willingness to learn, and the ability to work independently
Very good German and English skills, spoken and written.

Remote work
Option to work remotely within Germany
Internship duration: 3–6 months
Working hours: 35 hours per week
Compensation: €13.90 per hour
Working-student position duration: 6 months (with option to extend up to two years)
Working hours: 20 hours per week, up to 35 hours per week during lecture-free periods
Compensation: €17.80 per hour

Internship, Working Student – Machine Learning, AI-Based System Analysis

Key skills