Analyze and characterize internal feature representations of deep multimodal perception foundation
Design and implement active learning and intelligent data curation algorithms to identify rare
Explore automated data labeling and validation workflows leveraging modern Vision-Language Models
Train, fine-tune, and evaluate deep neural networks to improve model performance.
Validate model performance on large-scale autonomous vehicle sensor datasets and simulation

🎯 Requirements

Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a
Experience programming in Python and C++.
Practical experience training, fine-tuning, and evaluating deep learning models for computer vision
Solid understanding of modern neural architectures (e.g., Vision Transformers, multi modal sensor

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