Quick Summary
Ph.D. (Neuroscience, CS or biomedical engineering,
PhD . .
Roles & Responsibilities:
Ph.D. (Neuroscience, CS or biomedical engineering, preferred)
· Post-graduate training or experience with EEG time-series signal analysis: Standard time series / time-frequency analyses of electrophysiological data (EEG and LFP) including factor analyses, time-frequency and spectral analyses, phase amplitude coupling and connectivity analyses, such as phase-coherence, HD-EEG source analysis.
· Machine learning classification / advanced regression analyses of electrophysiological data (LFP and EEG)
· Experimental Control Programming, a plus: integration of digital inputs/ outputs related to experimental control in the laboratory and neurosurgical operating room.
· Post-graduate training or experience with data visualization
· Excellent communication and interpersonal skills
· Scientific writing proficiency
· Proficient in Matlab and/or Python (preferred), experience with open source toolkits like EEGLab and MNE-python.
Requirements:
PhD
.
.
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- 1654 days ago
Listing Details
- Posted
- April 29, 2022
- First seen
- September 26, 2026
- Last seen
- November 7, 2026
Posting Health
- Days active
- 42
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- November 8, 2026
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