[Job-offers-cs] Postdoctoral Position – Large-Scale Biophysical Modeling of Neurons
Pekka Orponen
pekka.orponen at aalto.fi
Wed Sep 14 21:22:35 EEST 2022
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 derived from large-scale optimization
and optimal control 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.
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. 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 (gabbiani at bcm.edu <mailto:gabbiani at bcm.edu>).
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Matthias Heinkenschloss
Rice University
Houston TX
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