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Mathematical Models of Visual Perception




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 Brian 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 mathematics, human vision, machine vision. The goal of the projects is to link existing concepts from Topology and Differential Geometry (Mathematics) to differences and similarities in human and machine visual perception. 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 ICML. This is an ideal opportunity for candidates who seek to continue a path in graduate school performing future research at the intersection of theoretical machine learning, machine vision and human visual perception.


Minimum Qualifications: - Introductory level Topology and Differential Geometry - Basic Knowledge of Computer Vision and Machine Learning - Self-motivated - Open-minded - Proof-based approaches to problems in Mathematics - Programming experience NOT required Preferred Qualifications: - Knowledge of Homotopy Theory - Avid reader of Theoretical Machine Learning literature: ICML, NeurIPS and ICLR. - Basic knowledge of Computer/Machine vision. - Basic knowledge of the human visual system Potential UROP’s that are interested should please send their CV to: deza@mit.edu