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Biologically-Inspired Visual Sensor Design


Term:

Spring-Summer

Department:

QI: MIT Quest for Intelligence

Faculty Supervisor:

Tomaso Poggio

Faculty email:

tp@mit.edu

Apply by:

March 15, 2020

Contact:

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 series of new projects at the intersection of robotics, material science, and human-machine vision. The goal of the projects is to develop and design a new artificial visual sensor that is spatially adaptive such as the human retina -- and potentially explore applications of this visual sensor for robotics. 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, ICRA or Nature Materials. This is an ideal opportunity for candidates who seek to continue a path in graduate school performing future research at the intersection of mechanical engineering, electric engineering, material science and/or vision science.

Pre-requisites

Minimum Qualifications: - Computer Assisted Design software - Basic knowledge of Computational Photography - Basic knowledge of Human/Machine Vision - Self-motivated - Open-minded Preferred Qualifications: - Experience with implementing robotic/electric systems - Coding skills (Python preferred) - Excellent skills in visual communication (slides / Graphic Design) - Excellent verbal communication skills - Avid reader of robotic systems and/or material science literature