Ph.D. (Neuroscience, CS or biomedical engineering, preferred)

This role involves post-graduate training or experience with EEG time-series signal analysis, including standard time series, time-frequency, and spectral analyses of electrophysiological data. The position requires proficiency in machine learning classification and advanced regression analyses of LFP and EEG data, as well as data visualization and scientific writing. Candidates should have excellent communication skills and be proficient in Matlab and/or Python, with experience in open-source toolkits like EEGLab and MNE-python.