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Saab Inc. Logo Saab Inc. · Research and Development

Master Thesis, 30 HP: Investigating AI-Based Target Detection and Characterization in Raw I/Q Data for Bistatic Radar

Sweden, Solna · Job Posted April 11, 2026
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Job Description

The thesis will investigate the potential of AI-based algorithms for detection and characterization of targets directly from raw I/Q data in bistatic radar systems. Successful outcomes could deliver more sensitive, real-time target detection in complex, high-noise environments. This thesis offers the opportunity to contribute to cutting-edge technology in electronic warfare and defence systems.

Job Responsibility

  • Reviewing state‑of‑the‑art AI methods for radar target detection and characterisation
  • Designing and implementing a model tailored to interpret raw I/Q data with minimal preprocessing
  • Training the model on diverse datasets to recognize various target signatures
  • Evaluating the model’s performance in terms of inference speed and accuracy in comparison to conventional methods
  • Testing the model’s ability to generalise across different bistatic configurations and noise levels

Requirements

  • Motivated student with interest in machine learning, signal processing, and physics
  • Solid foundation in signal processing
  • Proficiency in programming languages such as Python or MATLAB
  • Experience with deep-learning frameworks like PyTorch
  • At the end of Master’s in Computer Science, Electrical Engineering, or a related field
  • About to embark on 30 HP thesis project
  • Completed coursework in deep learning and signal processing
  • Practical experience with deep learning model development
  • Must pass a security vetting

What we offer

  • Opportunity to collaborate with experienced engineers and specialists
  • Gain invaluable practical experience
  • Support and guidance to translate theoretical knowledge into practical solutions
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