[Sigmetrics] Job opening: data science fellowship (pre- or postdoctoral)

[Stefanie Haustein]

/***

Apologies for cross-posting. Original announcement here:
http://goo.gl/IiziB7

***/


The PublicKnowledge Project <http://pkp.sfu.ca/> and the Canadian Institute
for Studiesin Publishing <http://publishing.sfu.ca/research/activities/> 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’s 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 (in order of
importance):


   - 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
qualifications:


   - 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 <lcoyne at sfu.ca> with the subject line: “data science
 fellowship.”


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
<https://www.sfu.ca/dean-gradstudies/future/visiting-research-students/Requirements.html>
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’s work is), has the potential to make meaningful and 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 @juancommander
<https://twitter.com/juancommander>
-- 
____________________________________________________________________
__________
Stefanie Haustein

Postdoctoral Researcher
Canada Research Chair on the Transformations of Scholarly Communication
École de bibliothéconomie et des sciences de l’information (EBSI)
Université de Montréal

e-mail: haustein.stefanie at gmail.com | stefanie.haustein at umontreal.ca
web:  stefaniehaustein.com | crc.ebsi.umontreal.ca
Twitter: @stefhaustein
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