Undergraduate Research Assistant at University of Texas at Arlington - Computer Science & Engin

We are seeking a motivated undergraduate intern to join our team working on event-based computer vision, a cutting‑edge paradigm that leverages neuromorphic sensors (event cameras) to capture high‑speed, low‑latency visual information. The intern will assist in developing algorithms for tasks such as object detection, tracking, and motion estimation using asynchronous event streams, with opportunities to work on real‑world applications in robotics, autonomous systems, and augmented reality.

Responsibilities include implementing and testing models, processing event‑based datasets, and contributing to experimental design and evaluation. Ideal candidates are pursuing a degree in computer science, electrical engineering, or a related field, have an understanding of computer vision and machine learning, and have strong programming skills. Prior experience with signal processing or robotics is a plus but not required.