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Description
Postdoctoral research fellow - Human movement disorders electrophysiology and neural engineering
We are seeking a postdoctoral researcher at the intersection of neuroscience, machine learning, and clinical neural engineering to join a collaborative team developing the next generation of intelligent deep brain stimulation (DBS) systems for movement disorders.
Dr. Miocinovic is a movement disorders neurologist and a biomedical engineer with expertise in translational and clinical electrophysiology. Her laboratory at Emory University focuses on brain circuits involved in motor and cognitive behaviors in Parkinson's disease and other movement disorders. We investigate how to treat these disorders by modulating neural activity, primarily with DBS, and work on developing next-generation neuromodulation approaches. The methods used in the lab include intracranial recordings during DBS surgeries and non-invasive (EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging techniques, biophysical computational modeling, quantitative symptom monitoring, behavioral tasks, and machine learning.
A postdoctoral fellow would spearhead a project to develop automated DBS programming platform using electrophysiologic signals recorded in the operating room and tested in the clinic and at home. The project is a close collaboration with Dr. Matthew Gombolay at Georgia Tech's School of Computing, and involves real-time deployment of machine learning algorithms.
This is an excellent opportunity for those interested in translational neural engineering. We offer cutting-edge scientific projects, attentive mentoring and multi-disciplinary collaborations in a world-class research environment at Emory University and Georgia Institute of Technology.
Additional information at Miocinovic Lab website: movement.bme.gatech.edu
The position is available immediately
QUALIFICATIONS:
Required:
• PhD in Neuroscience, Biomedical Engineering, Neural Engineering or related disciplines
• Experience with neurophysiological studies
• Advanced quantitative signal processing skills (including expertise in Matlab or Python)
• Strong scientific writing ability and oral communication skills
• Ability to spearhead complex experiments in clinical environments in close collaboration with neurologists and neurosurgeons
• Record of first-author publications in peer-reviewed journals
Preferred:
• Experience with human electrophysiology
• Experience with machine learning algorithms
Apply by sending the following to Dr. Miocinovic (svjetlana.miocinovic@emory.edu)
• Current CV including all publications
• Cover letter describing interest and relevant experience for the project
• Three reference contacts
NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.
Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
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