Adaptive illuminations with deep reinforcement learning
An old type radar directs its energy by moving the antenna mechanically. A modern array antenna on the other hand is steered electronically. This enables change of direction without any inertia. The task of the radar is surveillance. It breaks down into a balance of two tasks, searching for new targets and to keeping track of known targets. This balance is delicate and the topic of this thesis project.
Description of the master thesis
This project concerns using a perceived target scene as input to a policy modeled by a deep neural network and trained by for instance Proximal Policy Optimization. The policy shall decide whether to search or track, in which direction to illuminate and how long time to illuminate. For the task there is a simulator, developed at Saab and partly by a master student who is assigned the project. We seek an other master student to work together with him.
You are in the end of your technical master education in Engineering Physics, Engineering Mathematics, Computer Engineering or similar. Preferably, you have taken a course in deep machine learning. You have either practical experience with deep learning and reinforcement learning or you have a strong theoretical background.
This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.
What you will be a part of
Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world.
Business area Surveillance offers world-leading sensor technology in monitoring and decision support to protect against threats. The portfolio covers airborne, ground-based and naval radar, electronic warfare, C4I solutions, aviation systems and cyber security. Read more about us here
Last application date: 2022-12-02
Saab is a company with a strong people-orientation. We offer a friendly work environment where we support and help each other to be at our best. Continuous learning, career & talent development and employee well-being are examples of areas where we always put the strongest effort to offer great opportunities.