The Purdon Lab at Stanford University, School of Medicine pursues research at the intersection of medicine, neuroscience, and engineering to advance basic science, develop innovative medical technologies, and improve patient care. We are seeking talented and highly motivated postdoctoral fellows with a background in signal processing, statistics, machine learning, and related fields. The problems we are investigating include:
Characterizing the neural correlates of consciousness and unconsciousness under anesthesia using human intracranial neurophysiology (ECoG, LFP, spiking) and high-density EEG
Developing novel algorithms to monitor brain states during general anesthesia
Characterizing the neural mechanisms of anti-nociception (pain control) during general anesthesia and developing novel methods to monitor anti-nociception
Develop algorithms to identify drug-induced brain states in substance overdose patients using the EEG
Develop algorithms to characterize brain health and identify pre-clinical Alzheimer’s disease using neuroimaging and EEG data
Develop novel neural signal processing and EEG/MEG source localization algorithms
We may have opportunities for students interested in learning more about the EEG and clinical applications spanning topics such as brain health, anesthesiology, Alzheimer's Disease, and the opioid crisis.
Interested individuals should reach out to the lab manager (akriti@stanford.edu) with their resume and cover letter expressing their motivations to work in the lab.
