[Eeglablist] Postdoctoral Position in data modeling and analysis of brain/body imaging

[Ramón Martinez]

*Postdoctoral Position in data modeling and analysis of brain/body imaging*

We are seeking a highly motivated postdoctoral fellow to be part of an
interdisciplinary research alliance (Cognition and Neuroergonomics
Collaborative Research Alliances (CNACTA)) working to develop data analysis
and management methods and tools for mobile brain/body imaging data in
support of a research program in neuroergonomics (the study of the brain
and body at work). The research alliance seeks to discover relationships
between brain dynamics (recorded by non-invasive EEG) and motivated
behavior (recorded by body motion capture, eye tracking and other sensors)
in interactive, information-rich human-system operating environments with
an overall goal of developing performance enhancement and monitoring
technology.

The ideal candidate will have a strong background in computation, machine
learning, and/or visualization and have an interest in applying
computational tools to large-scale problems in neuroscience. The fellow
will be based at the University of Texas at San Antonio but will
collaborate with a group of Army-funded government and industry researchers
in gathering and analyzing data from successively more complex and
realistic experiments. The successful applicant will be hired by and will
work closely with the CANCTA research group at the University of Texas at
San Antonio led by Dr. Kay Robbins of Computer Science and Dr. Yufei Huang
of Electrical and Computer Engineering. The fellow will also interact with
partner groups at UC San Diego, University of Michigan, Columbia
University, University of Osnabrück, and National Chiao Tung University. In
addition to participating in this unique large-scale analysis project, the
fellow will present the research at conferences and in the open research
literature.

Salaries will be competitive. Transitions to permanent government or
industry research positions may be available for successful candidates.

*Minimum Requirements*: Ph.D. with research experience in machine learning
and computational approaches to data analysis. It is preferred that the
candidate is an American citizen or Permanent resident.

*Preferred Qualifications*: Strong skills in statistical learning with
experience applied to data from complex experimental designs especially in
neuroscience such as EEG data.

For additional information please contact:

Professor Yufei Huang
*Email: Yufei.huang at utsa.edu <Yufei.huang at utsa.edu>*
Department of Electrical and Computer Engineering
University of Texas at San Antonio
One UTSA Circle
San Antonio, TX 78249
210-458-6270

The University of Texas at San Antonio is an Affirmative Action/Equal
Opportunity Employer. Women, minorities, veterans, and individuals with
disabilities are encouraged to apply.
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