AI Research Intern: Wireless Foundation Models
Core
Developing foundation models for wireless sensing and perception using RF signals and channel measurements to enable generalizable representations of human activities and environments.
Role type
Research intern (PhD level)
Builds
Proof-of-concept demonstrations of wireless perception technology
Domain
Wireless sensing, RF signals, machine learning, deep learning
Deliverable
research
Required skills
foundation models, self-supervised learning, deep learning architectures, PyTorch, Python, wireless sensing data processing, multimodal learning, large-scale model training
Preferred skills
transformers, contrastive learning, generative models, few-shot/zero-shot learning, publication record in top ML venues
Technologies
PyTorch, Python, RF data-acquisition pipelines, GPU-based experimentation
Responsibilities
Develop novel foundation-model architectures for RF signals; Investigate self-supervised and multimodal learning approaches; Study model generalization across environments and devices; Develop methods for fine-tuning and transfer learning; Conduct experimental evaluations; Develop proof-of-concept demonstrations; Summarize findings for publications or patents
Seniority
Intern, PhD candidate
