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Summer Internship: AI-Based Anomaly Detection (AI)
2 100€
Описание вакансии
Текст:
TL;DR
Summer Internship: AI-Based Anomaly Detection (AI): Building a prototype for AI-based anomaly detection targeting logical attacks with an accent on real hardware, data, and modern machine learning pipelines. Focus on experimental and software-focused activities in cybersecurity.
Location: Gratkorn, Austria
Salary: EUR 2,100 gross/month
Company
N.V. is a world leader in secure connectivity solutions for embedded applications, enabling a smarter, safer, and more sustainable world through innovation.
What you will do
- Actively contribute to building and evaluating an AI-based Anomaly Detection prototype for Cybersecurity.
- Sample runtime and system information from development boards using a tracing probe.
- Prepare and structure collected data for further processing and analysis.
- Work on the data pipeline for model training, and train and evaluate anomaly detection models.
- Analyze model performance and iterate on improvements.
- Benchmark the developed solution against existing approaches and document results.
Requirements
- Must be a motivated student with an interest in machine learning, security, and hardware-oriented systems.
- Currently pursuing studies in Computer Science, Electrical Engineering, Information Security, Embedded Systems, or a related discipline.
- Knowledge of machine learning frameworks.
- Programming experience in Python.
- Comfortable working in a Linux environment and interested in working with hardware and development boards.
- Good English skills (spoken and written).
- Availability: Full-time for 2–3 months between June and September 2026.
Culture & Benefits
- Opportunity to work close to real hardware, data, and modern machine learning pipelines in an applied innovation and development environment.
- Experience how machine learning models are built, trained, and validated using data originating directly from hardware platforms.
- Online and offline learning opportunities to develop core and professional skills.
- Commitment to sustainability, diversity, inclusion, and equality.