[visionlist] Brain-Computer Interface (BCI) Post Doctoral Associate position available at The Johns Hopkins University Applied Physics Laboratory -
Schwartz, Maria A.
Maria.Schwartz at jhuapl.edu
Wed Sep 8 15:36:26 GMT 2010
Subject: New Post Doctoral Associate position available at The Johns Hopkins University Applied Physics Laboratory - Brain-Computer Interface (BCI)
Brain-Computer Interface (BCI) Post Doctoral Associate @ The Johns Hopkins University Applied Physics Laboratory (JHU APL)
The Johns Hopkins University Applied Physics Laboratory (JHU/APL) is seeking an exceptional post-doctoral fellow to develop novel brain-computer interface applications. Successful candidates will have demonstrated experience in designing and implementing neural signal processing and machine learning algorithms; designing and conducting experiments with non-invasive neural signal acquisition devices such as EEG, fMRI and fNIR; and writing software in MATLAB and C/C++. In addition, preference will be given to candidates with experience in computer vision, medical image processing, and real-time software and hardware systems
The selected Post Doctoral Associate will be responsible for:
* Developing and working with neural signal acquisition hardware to acquire neural signals from human subjects.
* Implementing neural signal processing and decoding algorithms for end effector control / signaling in brain-computer interface and neuroprosthetic applications.
* Design, implement and test novel brain-computer interface applications using non-invasive neural signal acquisition systems and neural signal processing algorithms.
* Support applied neuroscience initiatives by analyzing data and assisting with experimental design.
* Support neuroprosthetics initiatives through performance analysis and improvement of motor decoding and sensory encoding algorithms.
* Work with University faculty and students on collaborative research projects
Ph.D. in Electrical Engineering, Biomedical Engineering, or equivalent. Demonstrated ability in machine learning algorithm development for neural signal processing using Matlab and C/C++. Experience designing and conducting experiments with non-invasive neural signal acquisition devices such as EEG, fMRI and fNIR. Excellent written/oral communication skills; ability to articulate complex technical issues effectively. Five or more years of neural signal algorithm research and development.
Applicants selected will be subject to a background investigation.
Experience in the design, development, and implementation computer vision and / or image processing algorithms/ systems.
INFORMATION ON APL:
The Applied Physics Laboratory (APL) is a division of the Johns Hopkins University, conveniently located on 365 acres in suburban Maryland midway between Baltimore and Washington, DC. APL is a not-for-profit research and development organization with over 4,000 employees dedicated to solving a wide range of complex problems that present critical challenges to the nation. APL's staff and world-class facilities have made the Laboratory a major asset to the nation for more than six decades.
JHU APL offers a comprehensive benefits package including a vacation plan, a matching retirement program, significant educational assistance, a competitive scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu<http://www.jhuapl.edu>.
JHU APL is an equal opportunity/affirmative action employer that complies with Title IX of the Education Amendments Act of 1972, as well as other applicable laws, and values diversity in its workforce.
HOW TO APPLY:
Applicants should apply online at www.jhuapl.edu/employment<http://www.jhuapl.edu/employment> and refer to "Job Opening ID" 101637 and/or send resume to maria.schwartz at jhuapl.edu<mailto:maria.schwartz at jhuapl.edu>.
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