Radar Sensing AI Research Intern
Core
Develop state-of-the-art Radar AI solutions combining classical signal processing and machine/deep learning for memory-efficient models and novel interior sensing tasks.
Role type
PhD-level research intern (Radar AI)
Builds
Radar AI modules integrated into prototype systems
Domain
Automotive sensing / Machine Learning / Signal Processing
Deliverable
research
Required skills
PyTorch, HuggingFace transformers, Hydra, deep learning algorithms, machine learning algorithms
Preferred skills
Radar data ML projects, digital signal processing, publication record in top ML/signal processing venues, HPC platforms (Slurm, IBM LSF)
Responsibilities
Develop Radar AI solutions, research memory-efficient radar models, integrate radar AI modules into prototypes, summarize research findings in papers or patents
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