Radar Engineer Internship: Exploring Deep Learning Applications
3 weken geleden
About the Assignment
The primary focus of this internship is to investigate the use of pulse-compressed or raw radar data for training deep neural networks. This involves examining the potential of this approach and exploring possible applications where it adds value. The aim is to determine whether pulse compression, beamforming, and/or detection can be combined in a single neural network, and if so, what the benefits are. Radar measurements are available for testing different approaches.
Your Role
You will be working in the Department of Radar Technology, a passionate and creative team dedicated to specifying, developing, and evaluating innovative, high-performance MMICs, miniaturised and integrated RF subsystems, antennas, and front-ends. The department is at the forefront of novel, game-changing radar system and signal processing concepts for the military, space, and civil domains.
Requirements
To be eligible, you should be in the final stages of your degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a similar field, with some experience in signal processing or computer vision. Proficiency in programming in Matlab and/or Python is also essential. We value communication skills and a results-driven attitude.
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