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@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@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.