[Ieee_vis_open_positions] NYU Moore-Sloan Data Science Fellows 2017

[Claudio Silva]

The NYU Center for Data Science is pleased to invite applications for its
Moore-Sloan Data Science Fellows. The positions are a prominent feature of
the Moore-Sloan Data Science Environment at NYU and Data Science Fellows
will be expected to work at the boundaries between the data-science methods
and the sciences. These positions are part of a multi-institutional effort
funded in part by a generous grant from the Moore and Sloan Foundations. As
part of the multi-institutional effort, fellows will be encouraged to
develop collaborations with partners at the University of California,
Berkeley, and the University of Washington.

Fellows are expected to lead independent, original research programs with
impact in one or more scientific domains (natural science or social
science) and in one or more methodological domains (computer science,
statistics, and applied mathematics).   Ideal candidates will have earned a
PhD in one of these disciplines with experience in one of the other areas
(for instance a PhD in machine learning with applications to biology or a
PhD in politics with extensive use of statistical inference).  Superior
candidates will bring a research agenda that can take advantage of the
unique intellectual opportunities afforded by NYU, and will have experience
in working with researchers across different fields.

Appointments will be initially for two years, with an expectation of
renewal for a third on satisfactory performance. Fellowships will be
offered competitive salary and benefits, with funds to support research and
travel.  There is some flexibility about start date, but January 1, 2017 is
expected.

Fellowship applicants should send a curriculum vitae, list of publications,
and brief statement of research interests (no longer than 4 pages) to
ds-jobs-group at nyu.edu and also arrange to have three letters of
recommendation sent by November 1, 2016.  The statement of research
interests should mention the names of one or more faculty members
associated with the NYU Center for Data Science who would have substantial
intellectual overlap with the applicant’s interests and likely program of
research.  More information about the program can be found at
http://cds.nyu.edu/mooresloan



Claudio T. Silva, PhD
Interim Director, Center for Data Science
Director, Visualization, Imaging, and Data Analysis (VIDA)
Professor, Computer Science & Engineering and Data Science
New York University

Tandon School of Engineering       Center for Data Science
2 Metrotech Center, 10.093           60 5th Avenue, 704
Brooklyn, NY 11201                       New York, NY 10011
+1 (646) 997-4093                         +1 (212) 998-3313
Admin: Ann Messinger                   Admin: Loraine Nascimento
   phone: (646) 997-4057                     phone: (212) 998-3401
   email: am6179 at nyu.edu                  email: ln38 at nyu.edu
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