Job: Postdoctoral Position in Text Mining and Social Networks

Postdoctoral Position in Text Mining and Social Networks

I am looking for a postdoctoral fellow with an outstanding proven research
record to join our exciting research group. The research focus of the
postdoc will be in the following areas:

ANALYSIS AND MINING OF TEXT DATA: The world abounds in text data. In fact,
the amount of online data in the form of free text dwarfs what lives inside
well structured databases. The vision of this project is to explore how to
bring some of the functionalities we take for granted with traditional
databases to the world of text. This calls for a mixture of techniques from
NLP, IR, machine learning, statistics, data mining, probability theory, and
data management.

SOCIAL NETWORKS: User driven social networks (e.g., facebook, del.icio.us,
flickr) have generated tremendous interest in the recent past. The aim here
is to leverage this phenomenon for researching into various aspects of
Social Networks including, but not limited to, Discovery of Social Networks
from online communities, Social Network Analysis & Mining, Privacy/Security
issues in Social Networks, Social Search, and Learning from User Behavior.

The position is available immediately.
Salary will be commensurate with qualifications and accomplishments. A
Ph.D. in Computer Science or a field closely related to the above projects
is a must. All outstanding candidates are encouraged to apply. Interested
candidates should send their resume together with references to:

Laks V.S. Lakshmanan
Professor
Dept. of Computer Science
315-2366 Main Mall
The University of British Columbia
Vancouver, BC V6T1Z4
Canada.
Email: [email protected]
Home: http://www.cs.ubc.ca/~laks