[visionlist] PhD Positions in human and machine inference of object properties at American University, Washington DC

bei.xiao at gmail.com bei.xiao at gmail.com
Tue Oct 8 12:26:57 -04 2019

*Application Deadline: December 1st, 2019*

Admission date:  September 1st, 2020

Xiao Lab website: https://sites.google.com/site/beixiao/)

Degree in: Behavior, Cognition & Neuroscience Graduate Program (BCAN)

Prof. Bei Xiao’s lab at the Department of Computer Science, American
University in Washington DC (https://sites.google.com/site/beixiao/) is
looking for highly motivated PhD candidates to work on human and machine
learning of material properties of objects in dynamic scenes.

One project aims to develop machine-learning algorithms for material
perception from images and videos and compare using big datasets with
large-scale human psychophysics.

Another project aims to understand how humans use vision and haptics to
learn physical properties of objects in interactive VR/AR environments
using game engines.

The lab uses a combination of visual psychophysics, deep learning, computer
vision, game programming, graphics techniques, and VR/AR. The lab is
located in a brand-new building, which is home to computer science, applied
math and statistics, and AU game labs.  The lab is equipped with
GPU-enabled high-performing computer clusters, several VR/AR HMDs, a
virtual tactile device (Geomagic Touch X), 3D printers, and access to a
prototyping space. The lab is a short distance from NIH and University of
Maryland College Park. Washington DC is the US capital with high quality of
living and has a vibrant scene of neuroscience and vision research.

The candidate will pursue PhD degree in an interdisciplinary brain and
cognitive science program. The ideal candidate is expected to have *strong
technical background *and have experience in at least one of the following
methods: machine learning, computer vision, image processing, computational
neuroscience, human psychophysics, computer graphics, and human cognition.
Solid programming skills are a plus. Prospective graduate students should
contact Bei Xiao directly (bxiao at american.edu) <bxiao at american.edu>

More details about the graduate application for BCAN at AU at can be found


More details about Xiao lab: https://sites.google.com/site/beixiao/

Bei Xiao, PhD
Assistant Professor
Computer Science & Center for Behavioral Neuroscience
American University, Washington DC

Homepage: https://sites.google.com/site/beixiao/
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