Data Science Pre and Postdoctoral Fellowship opportunity — Scholarly Communication and Social Media | Publishing @ SFU

"he 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’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:

• 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."