[Eeglablist] Postdoctoral position at U Texas San Antonio

[Kay Robbins]

 We are seeking one highly motivated postdoctoral fellow in computational
neuroscience and signal processing to be part of an interdisciplinary
research alliance working to develop computational models and data analysis
methods in support of a research program in neuroergonomics (‘the study of
the brain and body at work’). An overall goal of the research is to
discover underlying principles describing the relationship of
non-invasively recorded EEG brain dynamics and motivated behavior (recorded
by body motion capture, eye tracking, etc) in interactive, information-rich
human-system operating environments and to apply these principles to
support overall performance of complex system operations.

The ideal candidate will have strong background in statistical learning,
data analysis, and visualization with preferably research experience in
neuroscience or cognitive science. The candidate will be based at
University of Texas at San Antonio (UTSA) and needs to work closely with
researchers and students at participating universities and to present their
research at conferences and in the open research literature.

*Instructions to Applicants*: Applicants should submit a cover letter and
CV, including the names and contact information of three references.
Include in the cover letter accompanying the application a summary of your
research experience and goals. Please send application materials by e-mail
to:

 Yufei Huang, Associate Professor, Department of Electrical and Computer
Engineering, University of Texas at San Antonio;
yufei.huang at utsa.edu<yhuang at utsa.edu>;
http://engineering.utsa.edu/~yfhuang/; (210)
458-6270begin_of_the_skype_highlighting
            (210) 458-6270      end_of_the_skype_highlighting; E-mail
subject: CTA Postdoc

The University of Texas at San Antonio is an Equal Opportunity/Affirmative
Action Employer. As part of the application process, applicants will be
invited to complete an online confidential and voluntary self-disclosure
card.
 Requirements

*Minimum Requirements*: Ph.D. in Electrical Engineering, Computer Science,
Statistics, or related areas. Both beginning and more senior postdoctoral
candidates are encouraged to apply. US citizenship is not required but will
be given priority.

*Preferred Qualifications*: Strong statistical learning skills with
experience in design, analysis, and statistical signal processing/machine
learning applied to data from complex experimental designs.
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