Research Associate

Job description

Working Title: Research Associate

Position Type: Professional Research Staff

Department: Department of Psychology

Location: Charlottesville

Posting Date: 04-10-2017

Posting Summary:
The University of Virginia's Cognitive Science Laboratory, under the direction of Dr. Dennis Proffitt, seeks applicants for a Research Associate position. The position will involve working on a Google-supported grant, Perceptual Metrics in VR. Applicants must have a Ph.D. in Psychology, Cognitive Science, or related fields by the appointment start date as well as have experience with virtual reality technologies including Oculus and/or Vive headsets and the Perception Neuron Motion Capture system. Experience and strong knowledge of quantitative methods is required, including (1) the ability to program and analyze data using R, (2) the use and analysis of EEG data, (3) the programming of experiments using Matlab (specifically Psychtoolbox), (4) the collection of physiological data using BioPac and data analysis using Acqknowledge, and (5) programming in any language for Arduino.

To apply, candidates must complete a candidate profile through [email protected] (hhtps:// and electronically attach the following: cover letter, curriculum vitae, and the contact information for three professional references; search for posting number 0620682.

Review of applications will begin April 20, 2017; however, the position is open until filled.

The start date will be no earlier than May 16, 2017 and no later than July 1, 2017. This is a one-year appointment with no commitment to employment beyond May 15, 2018.

Questions regarding the position and application process should be directed to Michelle Atwell at [email protected]

The University will perform background checks on all new hires prior to making a final offer of employment.

The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.

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Job No:
Posted: 10/3/2017
Application Due: 12/2/2017
Work Type: