Dear All: We are seeking a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. Find the full job description attached below. To apply for this position, apply through the link below: https://apply.hrmdirect.com/resumedirect/ApplyOnline/Apply.aspx?req_id=653519&source=653519-CJB-0 Best, Costas -- Costas Anastassiou Assistant Investigator T: 206.548.8434 E: costasa@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 a Scientist to be an essential team member in our ongoing effort to understand how the human brain processes information. The core responsibility for this position is to setup large-scale computational simulations and data analysis workflows from slice and in vivo brain physiology in humans. More specifically, the Scientist will (i) design and conduct simulations with an existing large-scale computational framework allowing simulation of a multitude of reconstructed, interconnected and biophysically realistic human neurons (e.g. [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013]; (ii) analyze simulated and experimental data to establish structure-function relationships (e.g. [Taxidis, Anastassiou et al, Neuron, 2015]); (iii) develop dimensionally reduced representations of neural function (e.g. using machine learning or statistical data modeling) based on recorded signals (encoding) and develop methods for reconstructing! neural function from neural activity (decoding); (iv) compare computational findings with experimental observables. ESSENTIAL DUTIES AND RESPONSIBILITIES In close collaboration with theoreticians and experimental colleagues, design, implement and conduct single-neuron and large-scale network simulations of human middle temporal gyrus. Contribute to ongoing efforts in computational framework development (simulation and data analysis) as well as to scientific questions relevant to the system under investigation. Contribute to adjacent projects related to human pathophysiology and neurotherapies. Publish/present findings in peer-reviewed journals/scientific conferences. Prepare written and oral reports on a regular basis. Maintain clear and accurate communication with supervisor, team members and external collaborators. BASIC QUALIFICATIONS PhD degree in computational neuroscience, physics, applied mathematics, bioengineering or related field. Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, applied mathematics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as Python. Familiarity with in vitro and in vivo electrophysiological monitoring techniques and analysis. DESIRED QUALIFICATIONS: 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. Strong written and verbal communication skills.
