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BOBosch Group

Internship in Radio-based Sensing for Activity Classification and Feature Extraction(m/w/x)

Hildesheim
Full-timeInternshipOn-site
AI/ML

Conducting radar sensor measurement campaigns for activity classification. Advanced Python and signal processing knowledge required. On-site work with rotating construction sites.

Requirements

  • Studies in Electrical Engineering, Computer Science, Communication Engineering, Physics, or comparable technical field
  • Advanced Python programming skills
  • Foundational knowledge in statistical signal processing
  • Foundational knowledge in high-frequency technology
  • Proactive team player
  • Enjoys collaborative work
  • Actively contributes to shared goals
  • Strong analytical abilities
  • Strong problem-solving abilities
  • Passion for technological innovation
  • Driven to tackle new challenges
  • Enrollment at university
  • Attach CV
  • Attach transcript of records
  • Attach enrollment certificate
  • Attach examination regulations
  • Attach valid work and residence permit if indicated

Tasks

  • Conduct measurement campaigns using radar sensors
  • Capture micro-Doppler signatures of human activities
  • Acquire and document data in multi-target scenarios
  • Apply signal processing algorithms to extract features
  • Visualize micro-Doppler features
  • Evaluate and enhance feature extraction algorithms
  • Improve activity classification algorithms
  • Develop novel approaches for activity detection
  • Investigate AI/ML integration for activity classification

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • statistical signal processing
  • high-frequency technology
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