Deep Learning Engineer for Radar Data Analysis
9 uur geleden
About the Assignment
TNO is seeking a highly motivated and skilled individual to work on a deep learning project focused on radar data analysis. The goal of this project is to explore the potential of using pulse-compressed or raw radar data for training deep neural networks.
Key Responsibilities
- Design and implement deep learning architectures for radar data analysis
- Develop and train neural networks using pulse-compressed or raw radar data
- Explore the potential of combining pulse compression, beamforming, and detection in a single neural network
About the Department
The Department of Radar Technology at TNO is a passionate and creative group of professionals dedicated to the specification, development, and evaluation of innovative radar systems and signal processing concepts. We are seeking an individual who is passionate about signal processing and deep learning and is eager to contribute to our team.
Requirements
- Master's degree in artificial intelligence, computer science, physics, mathematics, electrical engineering, or a related field
- Experience in programming in Matlab and/or Python
- Strong background in signal processing and deep learning
What We Offer
TNO offers a dynamic and challenging work environment with opportunities for professional growth and development. We provide a competitive salary and benefits package, as well as the opportunity to work on cutting-edge projects that have a real impact on society.
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