Dr. Ziad Nahas (Interventional Psychiatry Lab) in the Department of Psychiatry and Behavioral Sciences is seeking an outstanding candidate for a postdoctoral position to conduct and analyze the effects of neuromodulation on brain activity in mood disorders. Candidates should be passionate about advancing knowledge in the area of translational research of depressive disorders and other mental health conditions with a focus on invasive and non-invasive brain stimulation treatments. The position is available June 1, 2023, and funding is available for at least two years.
Independent analysis and interpretation of data – 45% Computer programming of tasks and analysis methods – 15% Computational modeling of behavior and electrophysiology – 15% Technical communication (written and oral) – 10% Professional Development - 10% Maintaining regulatory requirements and trainings – 5%
Position includes need for: â— Transportation of bulky or heavy objects on carts â— Standing or sitting for extended periods
Required Qualifications: â—PhD in relevant field (neuroscience, psychology, cognitive science) â—Strong programming and/or data analysis skills. MATLAB or Python is essential. C/C++ (and derivatives), LabVIEW, and scripting languages could be useful. Prior experience with data acquisition hardware including behavioral as well as EEG would be helpful. Proficiency with Microsoft Office software â—Experience with neurophysiology (human or animal), psychophysics and/or brain stimulation is ideal. â—Excellent verbal and written communication skills, with specific documentation of those skills through published work and oral scientific presentations. â—Demonstrated ability to work independently and to independently overcome complex technical challenges. â—Interpersonal skills appropriate for collaboration in a very multidisciplinary and highly diverse environment.
Preferred Qualifications: •Previous experience with psychiatric patient populations, the biological mechanisms of mental illness, and/or medical device development. •Signal processing and/or computer science background. •Previous experience with human functional imaging or electrophysiology.
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