Radar Sensing AI Research Intern

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

Your tasks

• 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.

Your profile

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).

Contact & additional information

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

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