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Summer Internship: AI-Based Anomaly Detection for Logical Attack Detection(m/w/x)
Prototyping anomaly detection systems using tracing probes and Python-based data pipelines for hardware security. Proficiency in machine learning frameworks and Python programming required. Flexible hybrid work, 30 days vacation.
Requirements
- Motivated student status
- Interest in machine learning and security
- Studies in Computer Science or related
- Knowledge of machine learning frameworks
- Programming experience in Python
- Comfortable working in Linux environment
- Interest in hardware and development boards
- Curiosity and analytical thinking
- Structured working style
- Good English skills
Tasks
- Co-build a prototype for AI-based anomaly detection
- Sample runtime and system information using tracing probes
- Prepare and structure collected data for analysis
- Develop the data pipeline for model training
- Train and evaluate models using existing ML frameworks
- Analyze model performance and iterate on improvements
- Benchmark solutions against existing and reference approaches
- Document results and contribute to performance evaluations
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Linux
Not a perfect match?
- AT61 NXP Semiconductors Austria GmbH & Co KGFull-timeInternshipOn-siteGratkornfrom 2,100 / month
- AT61 NXP Semiconductors Austria GmbH & Co KG
Internship: AI/ML Development(m/w/x)
Full-timeInternshipOn-siteGratkornfrom 2,100 / month - AT61 NXP Semiconductors Austria GmbH & Co KG
Summer Internship: AI / Machine Learning(m/w/x)
Full-timeInternshipOn-siteGratkornfrom 2,100 / month - AT61 NXP Semiconductors Austria GmbH & Co KG
Summer Internship Validation(m/w/x)
Full-timeInternshipOn-siteGratkornfrom 2,100 / month - AT61 NXP Semiconductors Austria GmbH & Co KG
Summer Internship: Product Engineering / Data Analysis(m/w/x)
Full-timeInternshipOn-siteGratkornfrom 2,100 / month
Summer Internship: AI-Based Anomaly Detection for Logical Attack Detection(m/w/x)
Prototyping anomaly detection systems using tracing probes and Python-based data pipelines for hardware security. Proficiency in machine learning frameworks and Python programming required. Flexible hybrid work, 30 days vacation.
Requirements
- Motivated student status
- Interest in machine learning and security
- Studies in Computer Science or related
- Knowledge of machine learning frameworks
- Programming experience in Python
- Comfortable working in Linux environment
- Interest in hardware and development boards
- Curiosity and analytical thinking
- Structured working style
- Good English skills
Tasks
- Co-build a prototype for AI-based anomaly detection
- Sample runtime and system information using tracing probes
- Prepare and structure collected data for analysis
- Develop the data pipeline for model training
- Train and evaluate models using existing ML frameworks
- Analyze model performance and iterate on improvements
- Benchmark solutions against existing and reference approaches
- Document results and contribute to performance evaluations
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Linux
About the Company
AT61 NXP Semiconductors Austria GmbH & Co KG
Industry
IT
Description
The company is focused on secure, connected IoT devices and offers the EdgeLock 2GO IoT service platform.
Not a perfect match?
- AT61 NXP Semiconductors Austria GmbH & Co KG
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