Corpora: Job Announcement

[Thorsten Brants]

The Quantitative Content Analysis Area (QCA) at Xerox PARC is seeking
researchers/developers who have a strong background (Ph.D or M.S.) in applying
statistical machine learning or pattern recognition techniques to information
access tasks, such as organization and mining of documents and document
collections.  We have developed methods in areas such as summarization, genre
identification, use of multi-modal information in browsing, and topic
identification.  Our current focus is on interactive methods to extract
information from large document collections and to restructure it based on the
needs of individual users.  We are building up a team composed of computer
scientists and engineers, with specialists in natural language and machine
learning.  To be successful, candidates need to have strong programming skills
(Java or C/C++), be able to develop algorithms as well as novel applications
and work well with others on both foundational research and on more
application-oriented research projects in a multidisciplinary (and
multinational) setting.

Experience and qualifications

o PhD/M.S in computer science or related fields with a strong background in
  machine learning, pattern recognition, probability or statistics with strong
  programming skills (Java or C/C++)

o Interest or experience in information access

o Interest or experience in quantitative natural language analysis, image
  analysis and/or user interfaces a plus

o Experience in working with large corpora and net applications is a plus

To apply, please submit your resume via email to istlhiring at parc.xerox.com,
and identify the position in the subject line as "Quantitative Content
Analysis Area (QCA)".

Xerox is an Equal Employment Opportunity company committed to the principles of
workforce diversity.


URL: http://www.parc.xerox.com/istl/groups/qca/