PhD - Cognitive Radar for Automotive Applications
Job Description
We are seeking a highly motivated PhD candidate to join our team and conduct research in the field of cognitive radar for automotive applications.
Typically, the hardware and software of automotive radar sensors are initially optimized during development, operating in fixed or ego-velocity dependent mode independent of the environment.
However, in the cognitive radar approach, the radar waveform and signal processing are adapted based on previous sensing results and learned characteristics of the environment, resulting in improved sensing performance as well as potential cost savings.
- The goal of this PhD thesis is to research novel and innovative methods for cognitive Radar to enable adaptive sensing for automotive scenarios.
- As part of this research, you will work on the following key questions : How to learn characteristics of diverse automotive scenes?
How to optimize radar sensing performance by adapting the waveform and signal processing (classical and AI-based)?
- Additionally, you will investigate methods for the release of cognitive radar functionality, ensuring safe and reliable operation with certain performance guarantees in all situations.
- During your PhD work, you will have the opportunity to build upon an existing radar simulation and signal processing framework to develop a cognitive loop showcasing improved sensing as well as object detection performance for one or multiple perception tasks.
Ideally, the cognitive loop will also be implemented in an existing HW demonstrator to verify the approach in real-world scenarios.
Furthermore, you will have the chance to contribute to the scientific community through publications in top-tier radar as well as machine learning conferences and journals.
Qualifications
- Education : excellent degree in Electrical Engineering, Information Technology, Computer Science or similar
- Experience and Knowledge : profound knowledge of machine learning and radar technologies, including signal processing as well as system design;
coding experience in Python and deep learning frameworks, ideally PyTorch
- Personality and Working Practice : you take a proactive approach to your tasks; an independent and creative way of working characterizes you
- Languages : fluent in English written and spoken, German is advantageous
Additional Information
Please submit all relevant documents (CV, letter of motivation, certificates, and links to GitHub or kaggle account).
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need support during your application?
Sarah Schneck (Human Resources)
49(9352)18-8527
Need further information about the job?
Benedikt Lösch (Functional Department)
- 49(711)811-55315
PhD - Cognitive Radar for Automotive Applications
PhD - Cognitive Radar for Automotive Applications. We are seeking a highly motivated PhD candidate to join our team and conduct research in the field of cognitive radar for automotive applications. The goal of this PhD thesis is to research novel and innovative methods for cognitive Radar to enable ...
PhD - Cognitive Radar for Automotive Applications
As part of this research, you will work on the following key questions: How to learn characteristics of diverse automotive scenes? How to optimize radar sensing performance by adapting the waveform and signal processing (classical and AI-based)?* Additionally, you will investigate methods for the re...
PhD - Cognitive Radar for Automotive Applications
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