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Postdoc in Brain-Computer Interfaces for Speech and Language Decoding Northwestern University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral position; funding details are not stated in the post.
Country
United States
University
Northwestern University

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About this position
Northwestern University’s Feinberg School of Medicine is advertising a postdoctoral position in the Slutzky Neuroprosthetics Lab within Neurology.
The project focuses on brain-computer interfaces (BCI) for decoding speech and language from human cortex, with methods including intracranial EEG (iEEG) and ultra high-density recordings. The work is aimed at developing new BCI applications, including potential impact for aphasia and related clinical translation. The post mentions collaboration with the Glaser, Tate, and Goldrick labs, as well as MCW and Shirley Ryan AbilityLab.
Applicants should have a PhD in biomedical engineering, neuroscience, neurolinguistics, physiology, or a related field. Strong experience in neuroscience, computational analysis, machine learning/deep learning, signal processing, iEEG, neural decoding, and BCI is highly desirable.
To apply, send a CV, a brief research statement, and three references to Marc Slutzky at [email protected].
This is a strong opportunity for researchers interested in neuroprosthetics, speech decoding, human cortical recordings, and translational BCI research.
Funding details
Postdoctoral position; funding details are not stated in the post.
What's required
PhD in biomedical engineering, neuroscience, neurolinguistics, physiology, or a related field. Strong background in neuroscience, computational methods, machine learning/deep learning, signal processing, intracranial EEG, neural decoding, and brain-computer interfaces is highly desirable.
How to apply
Send a CV, a brief research statement, and three references to Marc Slutzky by email. Use the provided contact email for application materials.
More information can be found here
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