[Neuroimaging] Fwd: Shanahan Foundation Fellowship at the Interface of Data and Neuroscience - apply now!

Ariel Rokem arokem at uw.edu
Wed Jan 19 20:56:51 EST 2022

With apologies for cross-posting, this is a great opportunity at UW/Allen.
Please forward to potential applicants and note upcoming deadline.



The *Shanahan Foundation Fellowship at the Interface of Data and
Neuroscience* is a three-year fellowship program that aims to:
·       Integrate data scientists in neuroscience research
·       Challenge traditional approaches to neuroscience
·       Provide multidisciplinary, multi-organizational co-mentorship
·       Provide a network and community

·       Support career development in data science
The fellowship is co-hosted by the Allen Institute and the University of
Washington (through the eScience Institute and the Computational
Neuroscience Center) and is directed by Dr. Christof Koch at the Allen

*Neuroscience needs data scientists.* The brain represents one of the most
complex challenges facing science today. And now with advances in our
methods to study the brain—Neuropixel probes that can record from 1000
neurons at once, growing consensus on data standards across
laboratories—the field is flooded with data that needs interpretation. The
skills of data scientists are essential to springboard the field to the
next stage of discoveries.

Towards that end, the Shanahan Foundation Fellowship was created to bring
fresh perspectives into the field, encouraging data scientists from outside
neuroscience to come and work with leading investigators at the Allen
Institute and UW.

The Allen Institute is unique in its infrastructure and pipeline that
enables the production of standardized, reproducible data on the brain (as
evidenced by our vast *data banks* <http://www.brain-map.org/>*)*. Together
with our collaborators at the UW computational Neuroscience Center and
eScience Institute, we provide data scientists with the ideal opportunity
and resources to mine for novel insights and discoveries.


*You do not need experience in neuroscience to apply. *The goal of the
fellowship is to provide opportunities to non-traditional applicants who
would not typically be funded by the typical postdoctoral fellowships in
neuroscience. The fellowship has been purposefully designed to give fellows
the time and mentorship to get up to speed in a new field and new data
collection techniques and methods*.*

Fellows will be employed by the Allen Institute as either a Scientist I or
a Scientist II (with a matching salary) and will receive an affiliate
postdoctoral appointment at UW.

During the three-year fellowship, fellows will identify a mentor at the
Allen Institute, where the fellows will be based. Fellows will select a
co-mentor at the University of Washington who will provide additional
guidance on a project designed by the fellow, focused on quantitative
analysis of neuroscience data available through the Allen Institute’s vast data
banks <http://www.brain-map.org/> – ranging from molecular, genomic,
transcriptional, physiological, morphological, anatomical and functional
whole-brain level in the brains of mice, non-human primates and humans – or
through ongoing laboratory work.  Each fellow will have the opportunity to
mentor a fully-funded UW undergraduate or postbaccalaureate research
assistant who helps with their research for 3-12 months.

Fellows will participate in the postdoctoral career development program at
the University’s *e-Science Institute* and the *UW Computational
Neuroscience Center*. The eSciences Institute offers regular workshops on
key topics including cloud computing, python and reproducibility. New
fellows will attend the annual Summer Workshop on the Dynamic Brain
they will learn how to apply data science skills to neuroscience data and
questions. Throughout the three years, fellows will be supported in
developing a network in the neuroscience field and sharing their progress
with peers at conferences. Up to three fellows will be selected to begin in
Fall 2022.
Eligibility Requirements

Applicants must be data scientists in a broad sense, with a Ph.D. in a
quantitative field such as computer science, statistics, electrical
engineering, physics, mathematics or biology with a background in
statistical, computational and machine learning methods. Ph.D.’s should
have been awarded in the last 3 years.

One goal of the fellowship is to build a network of collaborators, as such,
priority will be given to applicants who are not currently postdoctoral
fellows or scientists at the University of Washington or the Allen

We believe high-quality science can only be produced when it includes
different perspectives. We are building an environment of diversity and
inclusion and encourage people from all backgrounds to apply for this
Application Instructions

For full consideration, please submit your application by February 1, 2022.
Applications may continue to be considered after this deadline on a rolling
basis until positions are filled.

Learn more and apply on the Shanahan Fellowship Website

Applications must include:
·       A curriculum vitae from the applicant
·       Two letters of support from advisors and other mentors
·       A one-page personal statement from the applicant describing their
history, activities, and interests as an individual (especially those
outside of science) which may give the committee a greater sense of you as
a person and your ability to simultaneously interact with and challenge
traditional scientific fields.
·       A two- to three-page research statement from the applicant
describing their prior research, interests in applying data science to the
field of neuroscience, potential research interests (including tools they
are familiar with) and how this fellowship aligns with their career goals.

·       The choice of the final advisor/co-advisor will be accomplished
during the first year of this fellowship.

Questions? Email: shanahan.fellow at alleninstitute.org
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