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Thales

Global defense and aerospace electronics

AI Unfolding of the RPCA Problem Applied to Radar Clutter Filtering Intern

AI ResearchConfirmed live in the last 24 hours
InternshipLimours, FranceNo salary listedIn-person

About the Job

Requirements

  • Be in the final year of engineering school or in a master's program (Bac+5) and seek a 5-to-6-month internship.
  • Have strong skills in applied mathematics and artificial intelligence.
  • Be proficient in Python and PyTorch.
  • Be able to conduct a literature review and read technical English.

Responsibilities

  • Conduct a literature review to understand the RPCA method and study its convex and non-convex formulations.
  • Develop an initial version of an unfolded RPCA algorithm.
  • Test and integrate the algorithm on real signals.
  • Evaluate the method's performance and identify areas for improvement.
  • Study the contribution of unsupervised methods to solving the RPCA problem.
  • Document the results obtained.

Desired Qualifications

  • Knowledge of optimization methods and radar.

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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