POSITIONS

Postdoctoral Research Positions

A postdoctoral position is available for a highly motivated individual to join a growing effort to study the neuroscience of anesthetic effects on cognition and pain relief using functional neuroimaging and complimentary techniques.  The position is within the University of Pittsburgh, Department of Anesthesiology and Perioperative Medicine, under the direction of Keith Vogt, MD, PhD.  The NIH-funded research program is cross-disciplinary, with collaborators in the Departments of Bioengineering, Medicine (Division of Geriatrics), Psychiatry, and Psychology. The appointment is intended to be two years and may be extendable.  The candidate will be encouraged and supported to apply for their own mentored research training grants prior to the end of the postdoctoral fellowship.  The ideal candidate would have completed a residency in anesthesiology and be committed to pursuing an independent research career relevant to anesthesiology and perioperative medicine.  

Requirements: Applicants must have an MD, DO, PhD (or comparable medical/graduate degree) in a relevant field and be eligible for appointment to an NIH-funded training grant. Candidates must be comfortable with data analysis and basic statistics and have excellent oral and written communication skills. Training would include involvement in and oversight of a variety of clinical and volunteer human subject research projects focused on the effects of anesthesia on cognition.  


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Undergraduate Research Positions

Volunteer undergraduate research positions are available within Anesthesiology Neuroscience Research for highly motivated students interested studying anesthetic effects on cognition and pain relief using functional neuroimaging and complimentary techniques. Opportunities for interacting with and directly collecting data from human subjects are a part of some projects. Undergraduate research assistants will primarily be engaged in processing and analyzing data, with complexity commensurate with experience and technical ability. Candidates should have completed some statistics coursework and be proficient with programming (preferably MATLAB). Some prior experience with image processing or analysis of timeseries data would be ideal. For motivated premedical students, complementary clinical shadowing opportunities in anesthesiology and pain medicine can be arranged. 


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