[Infovis] Postdoc position in visualization/neuroscience

[Kay Robbins]

Job Description: We are seeking two highly motivated postdoctoral fellows in
computational neuroscience to be part of an interdisciplinary research
alliance working to develop mobile brain/body imaging experimental 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 candidates will have research experience in neuroscience or
cognitive science with a strong interest in computation, data analysis, or
visualization. The candidates will be based near Baltimore, Maryland at the
Army Research Laboratory (ARL), Aberdeen, MD, where they will collaborate
with a group of Army-funded government and industry researchers in gathering
and analyzing data from successively more complex and realistic experiments.
Successful candidates will be hired by and will interface with academic
research groups at UC San Diego (Scott Makeig, Tzyy-Ping Jung, Roger Levy,
Ken Kreutz-Delgatho, Angela Yu, Falko Kuester), UT San Antonio (Kay Robbins,
Yufei Huang, Nandini Kannan), and/or University of Michigan (Dan Ferris),
with additional ongoing collaborations with groups at National Chiao Tung
University, Taiwan (Chin-Teng Lin), and University of Osnabrück, Germany
(Peter König). The researchers will be encouraged to work closely with
researchers and students at participating universities and to present their
research at conferences and in the open research literature.

Funding Period: Salaries will be competitive. The project is in the first of
five years of funding, with subsequent renewal for an equal period possible.
Transitions to permanent government research positions may be available for
successful candidates.

Minimum Requirements: Ph.D. with research experience in computational
approaches to cognitive psychology or neuroscience. Both beginning and more
senior postdoctoral candidates are encouraged to apply.

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

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:

Scott Makeig, Director, Swartz Center for Computational Neuroscience,
Institute for Neural Computation, University of California San Diego;
smakeig at ucsd.edu; http://sccn.ucsd.edu; E-mail subject: ARL Aberdeen
position.

Kay Robbins, Professor, Department of Computer Science, University of Texas
at San Antonio; krobbins at cs.utsa.edu; http://visual.cs.utsa.edu; (210)
458-5543; E-mail subject: ARL Aberdeen position.
The University of California at San Diego and the University of Texas at San
Antonio are Equal Opportunity/Affirmative Action Employers. As part of the
application process, applicants will be invited to complete an online
confidential and voluntary self-disclosure card.