
As part of our innovation team, you will actively contribute to building and evaluating an AI-based Anomaly Detection prototype for Cybersecurity. Your tasks will include both experimental and software-focused activities: Data Acquisition * Sample runtime and system information from development boards using a tracing probe * Prepare and structure the collected data for further processing and analysis Data Pipeline & Model Development * Work on the data pipeline for model training * Train and evaluate anomaly detection models using an existing ML framework * Analyze model performance and iterate on improvements Evaluation & Benchmarking * Benchmark the developed solution against existing approaches and reference solutions * Document results and contribute to performance comparisons and evaluations This internship allows you to experience how machine learning models are built, trained, and validated using data originating directly from hardware platforms.