Connectionists: Opening in computational modeling of cellular and circuit mechanisms in human epilepsy – Allen Institute for Brain Science

[Costas Anastassiou]

Dear colleagues:

 

I’d like to draw your attention to an opening in my lab (Scientist 2-level equivalent to senior postdoc) at the Allen Institute for Brain Science in Seattle (USA) focusing on computational modeling of cellular and circuit mechanisms in human epilepsy (please find the job ad attached below). While the position is computational, this is a joint computational-experimental effort in collaboration with in-house experimental colleagues, neurologists and neurosurgeons. This is part of an exciting new translational neuroscience effort at the Allen Institute. Interested parties can apply at this link under the position “scientist II – translational neuroscience”.

 

Let me know if you have questions.

 

Many thanks, Costas

—

Costas Anastassiou

Assistant Investigator

T:   206.547.8434

E:   costasa at alleninstitute.org

 

 

 

 


alleninstitute.org

 

Professor (adj.) of Neurology

University of British Columbia, Vancouver BC, CA

http://neuroscience.ubc.ca/people/Anastassiou

 

 

 

Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease.  By implementing a team science approach on a large scale we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory

 

POSITION SUMMARY

 

We are seeking to fill a position at the level of Scientist II to work on an exciting new translational neuroscience effort at the Institute focusing on cellular and circuit mechanisms of epileptogenesis in human hippocampus. To address these questions, computational modeling of the human epileptogenetic hippocampus will be pursued utilizing existing state-of-the-art modeling, simulation and visualization capabilities at the Institute (e.g. see [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015]). 

The aim is to understand how synaptic, cellular and connectivity properties of pathological brain tissue give rise to pathophysiological network dynamics, and identify intervention targets to suppress pathological activity. Importantly, the computational effort will occur in parallel with novel in vitro experiments in human brain slices derived from pharmacoresistant patients undergoing surgery for treatment of refractory mesial temporal lobe epilepsy. This effort will be pursued in collaboration with in-house experimental colleagues as well as neurologists and neurosurgeons. 

 

RESPONSIBILITIES
Computational modeling of neurons and circuits. 
Design, implement and analyze large-scale network simulations. 
Publish/present findings in peer-reviewed journals/scientific conferences.
Preparation of both written and oral reports on a regular basis. 
Maintain clear and accurate communication with supervisor and team members. 
QUALIFICATIONS           
PhD degree in computational neuroscience, physics, biology, bioengineering or related fields. 
Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as python. 
Ability to meet aggressive timelines and deliverables in a collaborative environment.
Strong publication record.
Experience in pursuing research projects in collaborative fashion. 
Proven independent thinking and flexibility.
Familiarity with in vitro and in vivo electrophysiological monitoring techniques and data analyses.
Strong written and verbal communication skills.
 

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