|FROM ||Ruben Safir
|SUBJECT ||Subject: [Hangout-NYLXS] fellowship positition
|From hangout-bounces-at-nylxs.com Sun Feb 12 08:10:25 2017
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Subject: [Hangout-NYLXS] fellowship positition
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Home > Blog > Jobs & Opportunities > Data Science Pre and Postdoctoral
Fellowship opportunity =E2=80=94 Scholarly Communication and Social Media
Data Science Pre and Postdoctoral Fellowship opportunity =E2=80=94 Scholarly
Communication and Social Media
The Public Knowledge Project and the Canadian Institute for Studies in
Publishing are soliciting applications for a data science fellowship
(pre- or postdoctoral) to help build, and be an integral part of, an
emerging research program on scholarly communication and social media.
Working under the direction of Dr. Juan Pablo Alperin, the position will
offer the successful candidate the opportunity to explore a wide range
of questions using a combination of computational techniques (including
applied statistics, machine learning, network analysis, and natural
language processing) and innovative methods (such as Twitter bot
surveys) to investigate how knowledge is produced, disseminated, and used.
The position is ideally suited for (but not limited to) someone with an
interest in scholarly communication and social media research, as it
offers access to an unparalleled set of data and expertise to explore
many facets of scholarly communication, particularly around issues of
open access and the public=E2=80=99s use of scholarly work.
On top of having a proven record doing data-driven research, the ideal
candidate will have the ability to lead multiple research projects,
participate in external grant writing and publications efforts, as well
as play a leadership role in small, but growing research team.
All candidates must possess the following qualifications:
Ability to conduct research independently.
Strong programming skills in either Python (Pandas) or R
Ability to wrangle, explore, and visualize data
Knowledge of at least one of the following: social network analysis,
natural language processing, or machine learning
Strong communication skills
Outstanding candidates will also possess some of the following
A demonstrated interest in scholarly communication (interest in Open
Access an extra plus)
Understanding and experience working with third party APIs
Publications in peer-reviewed journals
Experience with time series data
Experience with Tableau or other data visualization tools
Research design expertise
The fellow will have access to funding for travel to present at academic
conferences and events, as well as to hire research assistants to
support them in their work.
Target start date: flexible (as soon as possible)
Duration: one year, renewable
Salary: Commensurate with experience
Location: Simon Fraser University (Downtown Campus), Vancouver, BC
Deadline for applications: Position will be open until filled, but for
full consideration, applicants should send their materials no later than
February 17th, 2017.
Applicants should send a CV, cover letter, and (optionally) a sample
from a past project (e.g., code, publication, data visualization), as
well as the names and contact information of 2 references. All materials
should be sent to Lindiwe Coyne with the subject line:
=E2=80=9Cdata science fellowship.=E2=80=9D
Postdoctoral candidates from anywhere in the world are encouraged to
apply, regardless of their eligibility to work in Canada; however, in
accordance with Canadian Immigration requirements, pre-doctoral
candidates can only be considered if they are eligible to work in Canada
or if they meet the requirements for a visiting graduate researcher.
About Dr. Alperin:
Juan Pablo Alperin is an Assistant Professor at the Canadian Institute
for Studies in Publishing and the Associate Faculty Director of Research
with the Public Knowledge Project at Simon Fraser University. He
believes that research, especially when it is made freely available (as
so much of today=E2=80=99s work is), has the potential to make meaningful a=
direct contributions to society, and that it is our responsibility as
the creators of this research to ensure we understand the mechanisms,
networks, and mediums through which our work is discussed and used.
A list of his publications and presentations can be found at
http://alperin.ca/cv, and he can be found on Twitter a -at-juancommander
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