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Thales

Global defense and aerospace electronics

Research & Innovation: Specification and Production of Simulated Datasets Intern

Applied Machine LearningUpdated on Nov 14
InternshipGennevilliers, FranceNo salary listedIn-person

About the Job

Requirements

  • The candidate must be a final-year (bac+5) engineering-school student specializing in AI, data science, or cybersecurity and seeking an internship to complete their studies.
  • The candidate must have strong proficiency in Python and deep-learning frameworks.
  • The candidate must have advanced knowledge of data, machine learning, and deep learning, including unsupervised learning and data-distribution modeling.
  • The candidate must be able to synthesize scientific papers and have scientific English proficiency at C1–C2 level.
  • The candidate must have basic knowledge of cybersecurity attack types, the MITRE ATT&CK framework, and the general structure of cyber data such as logs and network flows.
  • The candidate must have some knowledge of networks, 5G and virtualized networks, and network protocols including TCP/IP and DNS.
  • The candidate must have knowledge of generative AI and reinforcement learning.
  • The candidate must demonstrate scientific rigor and the ability to synthesize information.

Responsibilities

  • Review methods for generating synthetic normal data and simulating anomalous cyberattacks, including healthy-trace replay, automation scripts, generative models such as GANs and large language models, automated emulation using penetration-testing frameworks, historical capture replay, and offensive AI techniques such as GANs, reinforcement learning, and large-language-model agents.
  • Define a generic data structure with temporal, behavioral, and categorical features; model normal behavior; and identify representative anomaly scenarios based on standards such as MITRE ATT&CK, from isolated attack techniques to complete multi-stage attack paths.
  • Implement scripts or use selected tools to generate and merge normal and attack flows into a properly labeled dataset, and incorporate variability features to make the dataset realistic.
  • Validate the generated dataset by training anomaly-detection models and evaluate simulation quality in terms of fidelity, diversity, and usefulness.
  • Write the internship report.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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