[DL] Postdoc/Research Associate in Social Network/Semantic Web - Toronto, Canada
ebrahim.bagheri at gmail.com
Mon Nov 24 01:10:29 CET 2014
Laboratory for Systems, Software and Semantics (LS3)
Post-Doctoral or Research Associate Position
We are seeking a Postdoctoral Fellow or Research Associate to support a
large-scale research and development project in social media analytics. The
project focuses on developing technology for intelligence extraction from
social network platforms for supporting customer-relationship management
activities. The ideal candidate will have excellent research capabilities
as well as competitive development skills.
The candidate should have expertise in text mining or machine learning or
the semantic web and have experience with natural language parsing and/or
social network analysis. A PhD in Computer Science or related fields is
programming will be an asset.
Salary and benefits are competitive and commensurate with expertise. The
position is for one year with the possibility of extension for a second
Further inquiries may be directed to Dr. Ebrahim Bagheri (bagheri at ryerson.ca
Interested candidates should submit an application letter, a résumé, three
publications relevant to the post-doctoral project and contact information
of three reference persons to Prof. Ebrahim Bagheri (bagheri at ryerson.ca ).
Candidates will be screened until the position is filled.
The Laboratory for Systems, Software and Semantics (LS3) is a part of the
Faculty of Engineering, and Architectural Sciences at Ryerson University.
Ryerson University is a public research university located in downtown
Toronto, Ontario, Canada. Its urban campus surrounds the Yonge-Dundas
Square, located at the busiest intersection in downtown Toronto. The
university is composed of 36,000+ undergraduate students, 2,000+ graduate
students, and 70,000 yearly certificate and continuing education
registrations. Ryerson has been one of the fastest growing research
institutions in Canada.
Ryerson University values diversity and is committed to equal opportunity
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