[visionlist] Postdoc position in computer vision, Brown University (Providence, RI)
Thomas_Serre at brown.edu
Tue Apr 10 19:17:37 GMT 2012
The computational vision research group, headed by Dr. Thomas Serre at
Brown University, has an opening for a postdoctoral fellow in the field of
computer vision. The research project will lead to the development of novel
approaches for the automated analysis and recognition of action and
Candidates are expected to have a strong background in computer vision and
in particular video-based techniques including tracking and motion
processing. An interest in biological vision and applications of computer
vision to the biological sciences would also be a strong plus. The initial
appointment is for 12 months, renewable for another year, and potentially
longer depending on funding. The start date is negotiable though an early
start is strongly preferred. Salary is commensurate with experience and is
Representative recent work related to the project:
H. Kuhne, H. Jhuang, E. Garrote, T. Poggio & T. Serre. HMDB: A large video
database for human motion recognition. In Proc. IEEE International Computer
Vision Conference (ICCV), 2011.
H. Jhuang, E. Garrote, X. Yu, V. Khilnani, T. Poggio and A. Steele and T.
Serre. Automated home-cage behavioral phenotyping of mice. In: Nature
Communications. 1(1), doi:10.1038/ncomms1064, 2010
The research group is within the Department of Cognitive Linguistic &
Psychological sciences and maintains strong ties to the computer science,
engineering and applied math departments as part of the Brain Institute.
Information about Dr. Serre and his research group can be found at
Applicants are expected to have finished, or be about to finish their Ph.D.
degrees. They must have an excellent background in computer vision, with a
track record of relevant publications at top computer vision or related
venues (such as NIPS, CVPR, ICCV or ECCV). Programming skills are required
(C/C++/Matlab/Python) and knowledge of GPU programming and/or video
compression algorithms would be a strong plus.
Please send your applications by email to
serre-admin at correct_university_name.edu where correct_university_name
should be replaced by brown.
Please include a brief statement of interests, curriculum vitae, list of
publications, contact details for 2-3 letters of reference (no letters
required at this stage).
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