Foundation Models Research Intern — Wireless Sensing

Bosch USA; Pittsburgh (Allegheny County); Presencial; USD 55.000 - 83.000; A tiempo parcial

Descripción de la vacante

Bosch Research in Pittsburgh invites a highly motivated PhD candidate to advance the state of the art in foundation models for wireless sensing. You will develop new architectures and learning methods for RF signals, and study cross-environment generalization across devices and users.

The internship focuses on self-supervised and multimodal learning with the goal of enabling robust representations for human activity and context from RF data, with opportunities to publish and file patents.

Formación

• Enrolled in a PhD program in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field.
• Strong background in machine learning, deep learning, or representation learning.
• Experience with wireless sensing or RF data, including channel measurements or related time-series signals.
• Strong understanding of modern deep-learning architectures and training techniques.
• 2+ years of programming experience in Python and strong proficiency with PyTorch.
• Ability to independently design, implement, and evaluate research ideas.
• Excellent written and verbal communication skills.

Responsabilidades

• Develop novel foundation-model architectures and representation-learning methods for RF signals and wireless channel measurements.
• Investigate self-supervised, contrastive, generative, and multimodal learning approaches for large-scale wireless sensing data.
• Study model generalization and adaptation across environments, users, devices, and downstream perception tasks.
• Develop and evaluate methods for fine-tuning, few-shot learning, or zero-shot transfer to downstream wireless perception applications.
• Conduct comprehensive experimental evaluations and comparisons with state-of-the-art approaches.
• Develop a proof-of-concept demonstration of the proposed technology.
• Summarize research findings and contribute to a high-quality research publication and/or patent application.

Conocimientos

Python

PyTorch

Machine learning

Deep learning

Research

Educación

PhD student in CS/EE/Robotics

Herramientas

RF Data Acquisition

Time-series analysis

Descripción del empleo

Bosch Research in Pittsburgh invites a highly motivated PhD candidate to advance the state of the art in foundation models for wireless sensing. You will develop new architectures and learning methods for RF signals, and study cross-environment generalization across devices and users.

The internship focuses on self-supervised and multimodal learning with the goal of enabling robust representations for human activity and context from RF data, with opportunities to publish and file patents.