Brain-Computer Interface (BCI) Post Doctoral Associate
The Johns Hopkins Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, DC
is seeking a Brain-Computer Interface (BCI) Post Doctoral Associate.
Responsibilities:
Develop and work with neural signal acquisition hardware to acquire neural signals from human subjects. Implement 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 - PhD 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.
Desired - Experience in the design, development, and implementation computer vision and / or image processing algorithms/ systems.
Security
A background investigation is required.
How To Apply:
Interested applicants should apply on-line HERE
Equal Employment Opportunity
Johns Hopkins University Applied Physics Laboratory 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.