Senior Researcher in Radar Perception for Enhanced Automotive Cognitive Sensing
vor 2 Wochen
Job Description
Cognitive sensing is a key concept in sensor systems that actively interact with their surroundings. This research aims to address the challenges in Automotive Radars of detecting weak targets and vulnerable road users at long distances and in complex environments. To overcome the limitations of current static sensor modulations, we are seeking a highly skilled researcher to analyze and implement a reinforced cognitive model for radar.
Key Responsibilities
- Analyze and implement a reinforced cognitive model for radar, allowing for the adaptation of the sensor modulation based on the measured environment to enhance radar perception.
- Extend the existing radar simulation to establish a closed-loop pipeline for online reinforcement learning.
- Train a reinforcement learning agent optimizing sensor modulation parameters under different conditions and driving scenarios.
Requirements
- Master studies in Electrical Engineering, Simulation, Cybernetics, or a comparable field.
- Profound knowledge of machine learning and radar technologies.
- Coding experience in Python and deep learning frameworks, ideally PyTorch.
- Good communication and analytical skills, with the ability to work independently and systematically.
- Good English language skills, with German being a plus.
Additional Information
This research project is part of our ongoing efforts to advance radar technology and improve road safety. We welcome applications from highly motivated and qualified individuals who are passionate about contributing to this exciting field.
Contact
Marius Schwarz (Functional Department)
Sherif Abdulatif (Functional Department)
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