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. US Citizenship - Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for access to classified information, which includes US citizenship. 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 [email protected]<mailto:[email protected]>.
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