AI Radar Data Processing PhD Position
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We are seeking a highly motivated PhD candidate to join our interdisciplinary team and contribute to the development of AI-based software for automated driving. Our team focuses on ADAS sensor sets, technology scouting, evaluating future sensor technologies through PoCs, and defining sensor KPIs.
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* We collect data and prepare datasets for our partner teams within the department to train new AI models. The successful candidate will work closely together with experts from all teams across the department alongside the ADAS/AD stack.
* The PhD project has the working title: Optimal Data Interfaces for AI End-to-End Radar Data Processing. The candidate will review the state-of-the-art in the subject area, design neural network architecture to handle radar data, and compare different interfaces within the radar signal processing pipeline.
* The optimal input for the neural network will be chosen based on the comparison. The candidate will also define evaluation criteria for different radar data representations and collect and record datasets based on real-life driving scenarios.
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About You
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* You have a Master's degree in Computer Science, Electrical and Electronics Engineering, Information and Communication Systems, or equivalent.
* You know-how of ADAS radar signal pre- and post-processing, in-depth knowledge of machine learning algorithms, and programming languages such as Python, C, or C++.
* You have experience with common machine learning frameworks like TensorFlow, PyTorch, etc., and working experience in real-world projects or internships relevant to the PhD topic.
* You possess very good English language skills, both oral and written, and high level of commitment, goal-oriented, systematic way of working, and good networking skills.
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Benefits and Opportunities
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* Duration: 3 years
* Working with a high-ranked University
* Remote work options
* Possibility to supervise students
* Temporary work from abroad in selected countries
* 30 days paid leave
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Diversity and Inclusion
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We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.