Connectionists: Postdoc Position in Statistical Machine Learning (U. of Southern California)

[Fei Sha]

The machine learning research group, headed by Dr. Fei Sha at U. of
Southern California (USC), has an opening for a postdoctoral fellow in
the field of statistical machine learning.  Candidates with strong
background in speech and language processing/recognition and computer
vision are also encouraged to apply.

The initial appointment is for 12 months, renewable for another year,
and potentially longer depending on funding. The start date is
negotiable though prior to July 1, 2012 is strongly preferred.

Working with other members of the group, the postdoctoral fellow will
concentrate on developing novel machine learning models and
algorithms, with application focus towards research problems in speech
and language processing/recognition and computer vision. In
particular, research projects include, but not limited to,
(unsupervised) domain adaptation for recognition of visual categories
and human actions, cross-lingual language processing (for example,
robust statistical modeling of  low-resource  languages for automatic
speech recognition), etc.  Salary is commensurate with experience and
is competitive.

Teaching is not required though guest lectures are welcome in courses
(graduate and seminar courses in machine learning and graphical
models) taught by Dr. Fei Sha.

The research group is within the Department of Computer Science, a
part of Viterbi School of Engineering at USC. The department has
several strong research groups in artificial intelligence, including
robotics,  natural language processing (Information Science
Institute), multi-agent systems/game theory and human behavior, theory
and algorithms, etc.  The department also has very strong
collaboration (including joint appointments) with the Electrical
Engineering Department and with the Molecular and Computational
Biology program.

Information about Dr. Fei Sha and his research group can be found at
http://www-bcf.usc.edu/~feisha

Requirements:

Applicants are expected to have finished, or be about to finish their
Ph.D. degrees. They must have an excellent background in statistical
machine learning, with  a track record of relevant publications at top
machine learning or related  venues (such as NIPS/ICML, and
CVPR/ICCV). Programming skills are required (C/C++/Matlab/R/Python).

Application:

Please send your applications by email to Fei Sha (feisha at usc.edu).
Please include: statement of interests, curriculum vitae,
list of publications,  contact details for 2-3 letters of reference
(or have letters directly forwarded to the above email address).