Job Description

• 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.

Qualifications

• 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 Qualifications

• 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).

Additional Information

** Equal Opportunity Employer, including disability / veterans. __**

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.