The National Academies Logo
Research Associateship Programs
Fellowships Office
Policy and Global Affairs

Participating Agencies - ARL

  Sign InPrintable View

Opportunity at U.S. Army Research Laboratory (ARL)

Understanding and Computational Modeling of Behavioral and EEG Signals during Visual Search

Location

MD, FL, and AL-Human Research & Engineering Directorate, Human Research and Engineering Directorate

RO# Location
76.27.01.B8461 Aberdeen Proving Ground, MD 210055425

Advisers

Name E-mail Phone
Hung, Chou Po chou.p.hung.civ@mail.mil 410.278.9255

Description

To develop advanced autonomous systems, robots, and analytical tools, advances in machine learning must be coupled with improved understanding and modeling of human cognitive mechanisms and human behavior. ARL is looking for a Research Associate to further our goal of developing quantitative computational models of human behavior and neurophysiological (electroencephalography, EEG) signals during visual search. Research opportunities include experimental study of naturalistic visual search and other behavior, EEG analysis, and development of “deep” machine learning algorithms, computational models, and theory. Focus will be placed on advancing our fundamental understanding and developing predictive models of how scene dynamics affect EEG signals and visual search behavior. Ideally, candidates should demonstrate expertise in cognitive neuroscience (or a related discipline), EEG, visual search, human behavior, and/or computational modeling. All candidates must possess strong quantitative skills (e.g., Matlab, Python) and/or experience with EEG analysis software (e.g. EEGlab).

 

References

Chen YP, et al: Network anisotropy trumps noise for efficient object coding in macaque inferior temporal cortex. Journal of Neuroscience 35(27): 9889-9899, 2015. http://www.jneurosci.org/content/35/27/9889.short

Ries AJ, et al: The impact of task demands on fixation-related brain potentials during guided search. PLoS One 11(6): 2016, e0157260. doi: 10.1371/journal.pone.0157260

 

Keywords:
Vision; EEG; Machine learning; Visual search;

Eligibility

Citizenship:  Open to U.S. citizens, permanent residents and non-U.S. citizens
Level:  Open to Postdoctoral applicants
Copyright © 2014. National Academy of Sciences. All rights reserved. 500 Fifth St. N.W., Washington, D.C. 20001.
Terms of Use and Privacy Statement.