[Comp-neuro] Job Opening at the Allen Institute for Brain Science: Computational Studies of Cortical Circuits

Anton Arkhipov antona at alleninstitute.org
Tue Mar 3 02:48:11 CET 2020


An exciting opportunity to work at the Allen Institute for Brain Science: Scientist I/II - Computational Studies of Cortical Circuits. Apply here: https://alleninstitute.org/what-we-do/brain-science/careers/job-search/

Follow the link above and choose "Scientist I/II - Computational Studies of Cortical Circuits" from the list of available positions. Please feel free to contact me with any questions: antona at alleninstitute.org<mailto:antona at alleninstitute.org>.


Scientist I/II - Computational Studies of Cortical Circuits

The Allen Institute for Brain Science is seeking exceptional candidates for a position of Scientist in our Seattle-based, multidisciplinary organization. The Scientist will join the computational team of Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits.

Our computational team collaborates closely with experimentalists to build systematic classifications of structure and function of the mouse visual cortex based on high-throughput recordings in vitro (e.g., http://celltypes.brain-map.org and Gouwens et al., Nature Neurosci., 2019) and in vivo (e.g., https://portal.brain-map.org/explore/circuits and Siegle et al., bioRxiv 805010, 2019).  Using systematically constructed models of neurons from diverse types (Gouwens et al., Nature Comm., 2018), we are building and simulating data-driven, highly realistic models of the mouse visual cortex (Arkhipov et al., PLOS Comp. Bio., 2018; Billeh et al., Neuron, in press, 2020; https://portal.brain-map.org/explore/models/mv1-all-layers).

The team has also developed and disseminated the software enabling such modeling studies (https://alleninstitute.github.io/bmtk/ and https://github.com/AllenInstitute/sonata).

Join us to analyze world-class experimental data and build the next generation of brain models. This work will enable mechanistic predictions regarding structure and function of cortical circuits and will drive new experiments.

Job Responsibilities:

  *   Collaborate with in-house experimentalists to analyze data from Neuropixels electrophysiology and/or 2-photon calcium imaging in the mouse brain, as well as electron microscopy connectomics.
  *   Use these data to build and simulate models of cortical circuits, in order to study mechanisms connecting circuit structure and function.
  *   Publish/present findings in peer-reviewed journals/scientific conferences.

Required Qualifications:

  *   PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields.
  *   Strong publication record.

Preferred Qualifications:

  *   Track record of scientific excellence and independent thinking.
  *   Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines).
  *   Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply.
  *   Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub) is a plus.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.


Anton Arkhipov
Associate Investigator
T: 206.548.8414
[cid:image002.png at 01D5F0BA.BCEF7290]
www.alleninstitute.org<http://www.alleninstitute.org/>

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