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Perceptual Robotics




QI: MIT Quest for Intelligence

Faculty Supervisor:

Tomaso Poggio

Faculty email:


Apply by:

March 15, 2020


Arturo Deza: deza@mit.edu

Project Description

The Poggio Lab at the Brain and Cognitive Sciences Department of MIT is currently looking for a highly motivated undergraduate to work on a new project at the intersection of human vision, machine vision and robotics. The goal of the project is to explore the role of active visual sampling (akin to humans who make eye-movements to explore their environment) for the next generation of machine vision systems driven mainly by deep neural networks. The MIT UROP will be mainly supervised by PostDoctoral Research Associate Arturo Deza, and the project will also very likely include collaborations and interactions with faculty, postdocs, and graduate students from MIT’s CSAIL (Computer Science and Artificial Intelligence Laboratory). MIT UROPs interested in taking this position should aim for extending the UROP for more than one semester and that will ideally given enough time to produce high quality work ready that may end in publication in a top leading venue such as NeurIPS, ICLR or CVPR. This is an ideal opportunity for candidates who seek to continue a path in graduate school performing future research at the intersection of human visual perception, machine vision and machine learning.


Minimum Qualifications: - Knowledge and Experience training Convolutional Neural Networks (PyTorch preferred) - Basic Knowledge of Computer Vision and Machine Learning - Self-motivated - Open-minded Preferred Qualifications: - Intermediate Knowledge and Experience training Recurrent Neural Networks - Basic Knowledge and Experience with Reinforcement Learning - Advanced Experience with Computer Vision - Basic knowledge of the human visual system - Comfortable in Linux-based OS Potential UROP’s that are interested should please send their CV to: deza@mit.edu