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Northwestern University Feinberg School of Medicine

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Postdoctoral Fellow in Brain-Computer Interfaces for Speech and Language Decoding Northwestern University, Feinberg School of Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral fellow position; funding details are not specified in the post.

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Country

United States

University

Northwestern University Feinberg School of Medicine

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Deep Learning
Biology
Neuropsychology
Medical Science
Brain-computer Interface
ML

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About this position

Northwestern University’s Feinberg School of Medicine is advertising a Postdoctoral Fellow position in the Slutzky Neuroprosthetics Lab in the Department of Neurology.

The project focuses on brain-computer interfaces (BCI) for speech and language decoding, using intracranial EEG and ultra high-density recordings to decode speech from the human cortex. The work also emphasizes expanding decoding approaches to new populations, including people with aphasia, and involves collaboration with the Glaser, Tate, and Goldrick labs as well as MCW.

Ideal applicants should have a PhD in biomedical engineering, neuroscience, neurolinguistics, physiology, or a related field. Strong neuroscience and computational training is expected, along with advanced machine learning / deep learning, neural signal processing, iEEG, and neural decoding skills. Prior BCI experience is described as highly desirable.

This is a research-focused postdoctoral opening rather than a scholarship. Funding specifics, stipend, and deadline are not stated in the post.

To apply, email Marc Slutzky at [email protected] with a CV, a brief statement of research interests, and contact details for three references.

Funding details

Postdoctoral fellow position; funding details are not specified in the post.

What's required

PhD in biomedical engineering, neuroscience, neurolinguistics, physiology, or a related field. Strong background in neuroscience and computational methods is required, with advanced machine learning/deep learning, neural signal processing, intracranial EEG, and neural decoding experience highly desirable. Prior brain-computer interface experience is also highly desirable.

How to apply

Send a CV, a brief statement of research interests, and contact information for three references to Marc Slutzky by email. Review the lab and collaboration details before applying.

More information can be found here

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