Radar Sensing AI Research Intern

• Develop state-of-the-art Radar AI solutions using combination of classical signal processing and machine/deep learning-based approaches.
• Research and develop memory-efficient radar models, radar representation learning, novel interior sensing tasks.
• Collaborate with other researchers to integrate radar AI modules into the prototype systems.
• Summarize research findings in high-quality paper and/or patent submissions.

Required

• Currently enrolled as PhD student in Computer Science, Electrical Engineering, or related fields.
• 2+ years programming experience, proficiency in PyTorch(Lightning), HuggingFace(transformers), hydra.
• Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.

Preferred

• Experience using radar data in machine learning projects.
• Knowledge of digital signal processing principle and methods.
• Publication record in top machine learning and signal processing venues.
• Experience with HPC platforms and job managers (Slurm, IBM LSF).

All your information will be kept confidential according to EEO guidelines.

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.