Doctoral Project: Synthesizing how humans extract information about objects

Part of research project: Object-level scene descriptions and attention in visual search

Principal Investigators

Description of the doctoral project

The project focuses on the experimental study and computational modeling of surface and shape perception in real objects. One aim is to better understand processes underlying human perception of surface material and its interaction with the perception of 3D shape. We will perform psychophysical experiments to characterize how well human observers discriminate and identify 3D shapes. We will team up with partners from computer science in order to use 3D eye tracking techniques in combination with real-world presentation of synthesized and hence fully controllable 3D objects. In parallel we want to build computational models which aim to reconstruct a representation of material and shape from images, and we inspire and augment these algorithms with the data we gather in the psychophysical experiments.

 

Project start date: October 1, 2019

ID: SCIoI-37-19

Please visit the website https://www.personalabteilung.tu-berlin.de/menue/jobs/stellenausschreibungen/, which gives you access to the legally binding German version.

Responsibilities

Responsibilities include scientific research within the project and academic services in the Cluster. PhD position includes the enrollment in the Cluster’s doctoral program. All positions require participation in research colloquia, lecture series and workshops, as well as an active engagement in the Cluster’s research activities.

Prerequisites

Candidates should have a Masters degree in cognitive science, psychology, computer science or related discipline. Demonstrable skills in several of the following domains are required:

  • Strong interest in visual perception
  • Programming skills (e.g. Python, Matlab, C++)
  • Experience in psychophysics and/or behavioral neuroscience
  • Experience in image and shape generation (e.g. rendering, geometry processing)
  • Experience in 3D computer vision (e.g. photogrammetry, structure from motion)
  • Curiosity to be part of an interdisciplinary research group
  • Good command of the English language (spoken and written)

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