Non-Invasive Neural Signal Processing Postdoctoral Fellow
Department: Research & Exploratory Development Department
Location: Laurel, MD
Salary: Commensurate with experience
Original Posting Web Page: www.jhuapl.edu/employment
Keywords: brain-computer interface, human computer interaction, neural, Neuroimaging, signal processing
Posted on: Thursday, June 21st, 2012
The Johns Hopkins Applied Physics Laboratory (APL), a national leader in scientific research and development is seeking a Non-Invasive Neural Signal Processing Postdoctoral Fellow.
Lead an applied neuroscience research effort that uses fMRI, EEG, or fNIR as an enabling technology and proof of concept for future paradigms of human-computer interactions and for discovering neurophysiological correlates of human behavior and cognition.
1) Design, implement and test novel brain-computer interface applications using non-invasive neural signal acquisition systems and neural signal processing algorithms.
2) Design and develop neuromimetic algorithms to support automated signal processing of sensor data. Acquire neuroimaging data from human subjects, design and implement data preprocessing and analysis routines, interpret data and determine conclusions that support sponsor hypothesis.
3) Work with sponsor organizations to communicate impact of research, develop concepts of operation with mission relevance, and plan for future transition of this technology to the field.
4) Write scientific manuscripts and whitepapers summarizing results for conferences and peer review journals.
PhD in Electrical Engineering, Biomedical Engineering, Neuroscience, Applied Mathematics, or equivalent. Demonstrated ability in machine learning algorithm development for neural signal processing using Matlab and C/C++. Experience in designing and conducting non-invasive neural signal acquisition devices such as EEG, fMRI and fNIR. Demonstrated excellent and prolific written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for the audience.
Expertise in the design, development and implementation of image processing algorithms/systems. Experience working with animal models for neural signal acquisition and analysis. Experience with human subjects testing.
The Johns Hopkins University Applied Physics Laboratory (APL), located halfway between Baltimore, Maryland and Washington, DC, is a nonprofit Research and Development laboratory conducting advanced technical programs for the Navy; NASA; the Departments of Defense, Energy, and Transportation; the National Institutes of Health, and other Federal, state, and local agencies. The work includes projects in radar, communications and signal processing, missile guidance and control, submarine systems test and evaluation, space instrumentation and satellite systems, software engineering, and general systems analysis.
APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a 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.
To apply for this opportunity, please go to our employment website (www.jhuapl.edu/employment), click Experienced Professionals and search for Job Number 02228.
If you experience any technical difficulties, contact EMAIL OBFUSCATED.
We appreciate your interest in the Applied Physics Laboratory and wish you success in your job search and career endeavors.
APL is an Equal Employment Opportunity/Affirmative Action employer and we value diversity in our workforce. As such we comply with all federal/state legislation to provide equal opportunity for all applicants without regard to race, religion, gender, national origin, age marital status, veteran status, or disability. Solely to help us comply with federal and state Equal Employment Opportunity record keeping, and other legal requirements, we invite you to complete an EEO self-identification form. You will be prompted to complete the form when applying on our website. Please note that providing this information is voluntary. Refusal to provide this information will not subject you to adverse treatment. The information you provide is confidential and will be kept separate from your other applicant information. This information will only be used for data reporting requirements and will not be considered in making any employment decisions.
Send questions about this position to: Jessica Wilt
E-Mail: EMAIL OBFUSCATED