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The group of Fabrizio Gabbiani at Baylor College of Medicine (BCM, Department of Neuroscience) is looking to hire a postdoctoral fellow to work on the optimization of biophysical models for single neurons. The project will be carried out in close collaboration
with the group of Jeffrey Magee at BCM (also in the Department of Neuroscience) and that of Matthias Heinkenschloss at Rice University (in the Department of Computational Applied Mathematics & Operations Research). The goal of the project is to apply methods
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derived from large-scale optimization and optimal control </span>towards the optimization of neuron models having a large number of electrical compartments. The developed techniques will be used to fit in vivo and in vitro electrophysiological data from murine
CA1 pyramidal cells to understand the formation of their associated place fields. In addition, the same techniques will be applied to fit electrophysiological data from a visual neuron that detects impending collision in grasshoppers. We are looking for a
highly motivated scholar with the ability to bridge theoretical and experimental work in neuroscience. The ideal candidate will be familiar with systems of ordinary differential equations of Hodgkin-Huxley type used to model neurons. In addition, the applicant
will have experience in computer programing which will be central to the project’s execution. The ideal candidate will have a Ph.D. in Computational Neuroscience, or a related field such as Electrical Engineering, Computer Science, Biophysics or Applied Mathematics.<span style="font-family:"Times New Roman",serif;mso-fareast-font-family:"Times New Roman""><o:p> </o:p></span></p>
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We are committed to training the next generation of interdisciplinary scientists to tackle complex, multidisciplinary problems. Both BCM and Rice University support efforts to broaden diversity by fostering the careers of individuals with unconventional backgrounds.
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Interested candidates should email a CV, a statement of research interests and the contact information of at least two and preferably three references to Fabrizio Gabbiani (</span><a href="mailto:gabbiani@bcm.edu"><span style="mso-ascii-font-family:Calibri;mso-hansi-font-family:Calibri;mso-bidi-font-family:Calibri">gabbiani@bcm.edu</span></a><span style="mso-ascii-font-family:Calibri;mso-hansi-font-family:Calibri;mso-bidi-font-family:Calibri">).</span><o:p> </o:p></p>
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