Postdoc/Research Associate in Web Search/Social Network Analytics

Laboratory for Systems, Software and Semantics (LS3)
Ryerson University, Toronto, Canada

http://ls3.rnet.ryerson.ca/

Post-Doctoral or Research Associate Position

We are seeking a Postdoctoral Fellow or Research Associate to work on
social media/network mining and web search. The ideal candidate will have
excellent research capabilities as well as competitive development skills.


The candidate should have expertise in data mining, machine learning,
social network analytics or web search. A PhD in Computer Science or
related fields is required. Expertise with NoSQL technology, Java,
Javascript and frameworks for distributed processing in Java (e.g. Apache
Spark, Hadoop MapReduce) will be an asset.


Salary and benefits are competitive and commensurate with expertise. The
position is for one year with the possibility of extension.



Further inquiries may be directed to Dr. Ebrahim Bagheri (bagheri@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 Dr. Ebrahim Bagheri (bagheri@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
in employment.

Received on Monday, 13 February 2017 19:26:20 UTC