POSITION SUMMARY

We are seeking to fill a position at the level of Scientist to work on coarse-grained models of cortical networks aiming to understand how the observed structure and activity gives relate to cortical computations necessary for visual processing (e.g. figure ground segregation, integration of context). We use mouse vision as a model system and this position will focus on using population statistics (http://alleninstitute.github.io/dipde/) and filter neuron model simulation tools.

More specifically, the scientist will work on (i) fitting network models with simple neurons which network structures are consistent with the observed mesoscopic connectivity and in vivo cellular activity, (ii) simulate the activity of such networks at neuronal an population levels and (iii) analyzing the relation between observed network structure and that predicted from different models of cortical computations.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Participate in team efforts to find network parameters which are consistent with activity (http://observatory.brain-map.org/visualcoding/) and connectivity (http://connectivity.brain-map.org/) data.
• Simulate cortical networks parameterized from experimental data using population and simplified neuron model simulation tools.
• Analyze how computations in vision (e.g. figure/ground segregation, integration of context) result from networks similar to those simulated.
• Interact with groups performing simulations at other levels of resolution and with experimental groups.
• Maintain clear and accurate communication with supervisor and team members.
• Publish/present findings in peer-reviewed journals/scientific conferences. 

BASIC QUALIFICATIONS

SCIENTIST I

• PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field.
• Strong background in scientific computing is required.
• Experience in computational neuroscience is preferred.

SCIENTIST II

• PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field.
• 4+ years of postdoctoral experience in computational science
  • Preferred Computational neuroscience
• Strong background in scientific computing is required.
• Strong publication record.

Preferred Qualifications:

• Ability to meet aggressive timelines and deliverables in a collaborative environment.
• Proven independent thinking and flexibility.
• Strong written and verbal communication skills
• Experience in pursuing research projects in collaborative fashion.

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.

To apply please visit https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/. Applications will be considered on an ongoing basis.

Apologies for coss-posting,

Stefan Mihalas
Assistant Investigator

Allen Institute for Brain Science

www.alleninstitute.org

Affiliate Assistant Professor

Department of Applied Mathematics

University of Washington