Dear Colleague,
The
Allen Institute for Brain Science is embarking on a multiyear project to study neural computation and coding in the mouse cortex. We presently have an opening for a scientist to study structural connectivity of the mouse brain as well as its relation
to cell types and mesoscopic measurements of neural activity.
For more information or to apply please visit:
http://alleninstitute.hrmdirect.com/employment/job-opening.php?req=251378&&cust_sort1=19156&&nohd#job
Sincerely,
Stefan Mihalas
Assistant Investigator
T: 206.548.7192
M:
626.376.2414
Scientist I - Network Analysis
This computational neuroscientist will study the organization of structural connectivity networks of the mouse brain. The primary
project will focus on network analysis of structural connectivity data, including Allen Mouse Brain Connectivity Atlas. Additional projects will focus on the relation between the structural connectivity and measurements in different modalities. These may include
comparisons with cell type characterizations and mesoscopic measurements of neural activity in behaving mice, with the long term goal of uncovering structure-function relation of cortical circuits.
RESPONSIBILITES
Perform graph theoretical analyses of mouse connectome data for detailed and specific descriptions of network architecture (e.g. hubs, modules, rich club organization)
Perform analyses using mouse connectome data to classify connectivity patterns and characterize anatomical rules of cortico-cortical connectivity in mouse brain. Compare organization of mouse cortex with hierarchies described in other species.
Perform comparative analyses, computing statistical differences between connectivity data and network architecture collected using different methods, different ages, or in disease models.
Compare the connectivity patterns of similar cell types in different structures.
Analyze the relation between structural connectivity and other mesocopic brain-wide measurements.
Publish/present findings in peer-reviewed journals/scientific conferences.
Present a periodic summary of progress to the research community within the organization.
QUALIFICATIONS
Ph.D. in applied mathematics, computational neuroscience or a related field.
Excellent organizational skills and attention to detail.
Ability to meet aggressive timelines in a collaborative environment.
Strong verbal and written communication skills.
Ability to work independently and as a part of a team.
Strong publication record.