Teaching Assistant, Visual Neuroscience Lab

Abu Dhabi, United Arab Emirates
24 Dec 2021
End of advertisement period
04 Jan 2022
Academic Discipline
Social Sciences, Psychology
Contract Type
Full Time


The Division of Science at New York University Abu Dhabi seeks to appoint a NYU PhD candidate to assist in teaching 'Lab in Visual Neuroscience ' in the Spring of 2022.

Lab in Visual Neuroscience

Visual perception is the primary sense through which we interact with the world.

This course provides the tools to help you probe the neural mechanisms underlying visual perception. You will design, conduct and analyze data in the context of 4 projects, which combine behavioral and neuroimaging techniques. You will gain a working understanding of how visual information is coded and processed in the brain. Furthermore, the course will help you understand differences in visual performance in terms of neural differences.

The course will cover relevant vision science and programming principles throughout the semester. As such, courses such as Computer Programming for Engineers (ENGR-UH 1000), Biopsychology (PSYCH-UH 1003) and Perception (PSYCH-UH 2411) are recommended but not required. By the end of this course, you will be able to design, conduct and analyze data from your own visual neuroscience experiment. You will be able to analyze the data - by writing your own data analysis/model fitting tools if no pre-written tools are available, and critically evaluate your results.

Teaching Assistant Duties:

  • Attend lectures
  • Assistance with setting up labs & activities
  • Conduct labs
  • Grade assignments
  • Office hours with students

Minutes per week will be flexible depending on the demands for this week. Total number of minutes/week will not exceed the maximum stipulated for TAs.


  • Successful applicants must have a BSc degree in Psychology.  
  • Application Instructions
  • To be considered, all applicants must submit a curriculum vitae.

If you have any questions, please email Bas Rokers (

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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