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Subject:
From:
Sarah and Micaela <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>
Date:
Mon, 26 Oct 2015 11:34:44 -0700
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Announcing the 2016 Moore/Sloan Data Science and

WRF Innovation in Data Science Postdoctoral Fellowships

The University of Washington eScience Institute announces a competition for
the 2016 Moore/Sloan Data Science and Washington Research Foundation
Innovation in Data Science Postdoctoral Fellowships. We seek outstanding
interdisciplinary researchers with expertise in the methods of data science
and in a physical, life, or social science.

The program recognizes that rapid advances in our ability to acquire and
generate data are transforming all fields of discovery from “data-poor” to
“data-rich.” A significant bottleneck to discovery is our ability to
perform inference over heterogeneous, noisy, and often massive datasets.

There are two funding pathways for Data Science postdoctoral fellowships:

   1.

   Most of our postdoctoral fellows are funded jointly by the Gordon and
   Betty Moore Foundation, the Alfred P. Sloan Foundation, and the Washington
   Research Foundation.
   2.

   There is also the possibility of co-funding between two WRF-funded
   institutes <http://wrf.washington.edu/>. Candidates interested in joint
   WRF appointments should complete the full application process for both
   institutes. In addition, the applicant should include a paragraph that
   clearly indicates the rationale and fit of a joint appointment.


Fellows are provided with annual salary support of $65,000 for two years
and an additional stipend of $25,000 over the total period of the
appointment that can be used for travel, equipment, software, undergraduate
research assistants, or other research costs.

To apply, the candidate should identify two mentors: a primary mentor and a
secondary mentor. At least one of these mentors must be a Data Science
Fellow
<http://escience.washington.edu/who-we-are/escience-institute-data-science-fellows>.
Candidates should select one mentor from a methodology area (computer
science, statistics, applied math, information sciences, or human centered
design and engineering) and one mentor from a domain science (life,
physical, or social). Either mentor can serve as the primary mentor.

Application Details. Two cohorts of postdoctoral fellows will be accepted
each year. To apply, submit the following materials to
[log in to unmask] by January 15, 2016 for the first cycle or
by July 15, 2016 for the second cycle.


   -

   A one-page statement of research accomplishments.
   -

   A  two-page statement of goals for proposed research activities. The
   statement should include discussion of how the candidate’s proposed
   research will contribute to the goal of enhancing linkages between a domain
   science and data science.
   -

   A curriculum vitae.
   -

   Three letters of reference submitted directly by the recommenders to
   [log in to unmask]


The applicants must also compile and submit as part of the above
application the following:


   -

   A one-page document from the applicant indicating the rationale for the
   choice of mentors, the expected benefits of working with the mentors, and
   the relationship of the activity to the applicant’s career goals.
   -

   A one-page document from the primary mentor indicating a commitment to
   work with the prospective Fellow, describing a mentoring plan, and
   summarizing the researcher’s prior record of mentoring.
   -

   Please identify and contact a secondary mentor. No letter is necessary
   from the secondary mentor at this time.


Evaluation of Proposals. Proposals will be evaluated by the steering
committee of the University of Washington eScience Institute. Applications
will be evaluated based on:


   -

   The Fellow’s record of research and other accomplishments as they relate
   specifically to advancing data-driven discovery;
   -

   The quality and suitability of the mentoring plan for the Fellow’s
   future work;
   -

   The contribution of the Fellow’s proposed research to advancing the
   techniques and technologies of data science and the domain that depends on
   them;
   -

   The Fellow’s commitment to reproducibility and open science as
   demonstrated by the public release of data and/or software.


For the January 15th deadline, notification will occur by March 1, 2016.
For the July 15th deadline, notification will occur by September 1, 2016.

The University of Washington (UW) is proud to be one of the nation’s
premier educational and research institutions. Our people are the most
important asset in our pursuit of excellence in education, research, and
outreach. Our employees not only enjoy outstanding benefits and
professional growth opportunities, but also an environment noted for
diversity, community involvement, intellectual excitement, artistic
pursuits, and natural beauty.


-- 
Sarah A. Stone, PhD
Program Manager, eScience Institute
Campus Box 351570
University of Washington
Seattle, WA 98195

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