Radar AI Research Intern: Build next-gen radar ML models

Bosch; Pittsburgh (Allegheny County); On-site; USD 60,000 - 80,000; Full time

Job summary

Bosch is seeking a PhD candidate in Computer Science or Electrical Engineering to advance radar AI by blending classical signal processing with deep learning. You will prototype memory-efficient radar models and representations, exploring interior sensing tasks.

Collaborating with researchers, you will integrate radar modules into prototypes and document findings in papers and patents as part of Bosch’s research initiatives.

Qualifications

• Currently enrolled as a 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.

Responsibilities

• 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.

Skills

PyTorch

HuggingFace

Hydra

Deep learning

Machine learning

Education

PhD student in Computer Science / Electrical Engineering

Tools

Slurm

IBM LSF

Job description

Bosch is seeking a PhD candidate in Computer Science or Electrical Engineering to advance radar AI by blending classical signal processing with deep learning. You will prototype memory-efficient radar models and representations, exploring interior sensing tasks.

Collaborating with researchers, you will integrate radar modules into prototypes and document findings in papers and patents as part of Bosch’s research initiatives.