Назад
Company hidden
2 часа назад

Summer Internship: AI-Based Anomaly Detection (AI)

2 100
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Austria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →

Текст вакансии взят без изменений

Источник - загрузка...