[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

QUALIFICATIONS:

Required:
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.

Desired:
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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