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10 years of news and resources for members of the IEEE Signal Processing Society
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; email@example.com; http://engineering.utsa.edu/~yfhuang/; (210) 458-6270 ; 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.
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.
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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