[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoctoral position - Data modeling and analysis of brain/body imaging

-------- Original Message --------
Subject: 	[Ieee_vis_open_positions] Postdoctoral position - Data 
modeling and analysis of brain/body imaging
Date: 	Fri, 23 May 2014 20:01:52 +0000
From: 	Kay Robbins <Kay.Robbins@utsa.edu>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de 
<ieee_vis_open_positions@listserv.uni-tuebingen.de>



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.

UTSA is an equal opportunity employer.

For additional information please contact:

Professor Yufei Huang

Department of Electrical and Computer Engineering

University of Texas at San Antonio

One UTSA Circle

San Antonio, TX 78249

210-458-6270

Yufei.huang@utsa.edu <mailto:Yufei.huang@utsa.edu>




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