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.
- 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).
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.
