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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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  • Summer Internship: AI-Based Anomaly Detection for Logical Attack Detection (m/f/d)

    NXP Semiconductors
    Gratkorn, Austria
    Found 1 month ago
  • Working Student (f/m/d) Embedded Control

    NXP Semiconductors
    Munich, Germany
    Found 3 weeks ago
  • Product Application Engineer

    AMD
    Belfast, United Kingdom
    Found 1 month ago
  • Student assistant

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stagiaire – Calcul embarqué des pertes IGBT d’un onduleur moyenne tension (H/F)

    GE Vernova
    Belfort, France
    Found 2 months ago

Summer Internship: AI-Based Anomaly Detection for Logical Attack Detection (m/f/d)

NXP Semiconductors
Found 1 month ago
Location
Gratkorn, Austria
Duration (Months)
3 Months
Time
Full-time
Work Mode
Not disclosed
Salary
EUR 2.100- gross/month
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • machine learning
  • Python
  • Linux

Soft Skills

  • Curiosity
  • analytical thinking
  • structured working style

Job Description

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.

Requirements

  • Knowledge of machine learning frameworks
  • Programming experience in Python
  • Comfortable working in a Linux environment
  • Interest in working with hardware and development boards
  • Curiosity, analytical thinking, and a structured working style
  • Good English skills (spoken and written)

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • hardware
  • development boards
▶Apply Now

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