Data Science Faculty Position

Job description

The Stanford Department of Anesthesiology, Perioperative and Pain Medicine in the School of Medicine invites applications for an open-rank faculty position focused on artificial intelligence, machine learning, data science, neural engineering, computational neuroscience, and physiological data science relevant to anesthesia, perioperative medicine, pain, and critical care. The appointment will be as Assistant Professor, Associate Professor, or Professor in the University Medical Line, University Tenure Line, or Non-Tenure Line (Research). A PhD or MD (or equivalent degree) is required. Faculty rank and line will be determined by the qualifications and experience of the successful candidate. We are particularly interested in candidates developing AI-enabled methods for neural and physiologic signals, such as EEG-based brain-state modeling, computational neurophysiology of anesthesia and consciousness, neural signal decoding, computational pain neuroscience, neuromodulation, and perioperative or critical care monitoring, as well as integrative approaches that connect molecular, cellular, physiologic, and clinical data, as well as AI methods applied to basic science and biological dat...