Connectionists: Postdoc position in machine vision – Serre lab, Brown University (Providence, RI)

[Thomas Serre]

The computational vision research group, headed by Dr. Thomas Serre at
Brown University, has an opening for a postdoctoral fellow to work on the
automated analysis of behavior. In particular, we are looking for a
computer scientist interested in the development of computer vision
algorithms to automate the video analysis of behavioral data with a range
of applications from the study of bird cognition in the wild to rodents in
their home cage to people in their homes.

Candidates are expected to have a solid background in modern computer
vision and machine learning methods.  An interest in biology and
applications of computer vision to the biological sciences would also be a
strong plus but this is not a requirement for the position. 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
competitive.

Representative recent work related to the project:

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

H. Kuehne, A. Arlsan & T. Serre. The language of actions: Recovering the
syntax and semantics of goal-directed human activities.  In: Proceedings of
2014 IEEE Computer Society Conference on Computer Vision and Pattern
Recognition (CVPR 2014), IEEE Computer Society Press, Columbus, Ohio, 2014

Research group:

Our research group is located within the Department of Cognitive Linguistic
& Psychological sciences at Brown University. We maintain strong ties with
the computer science, engineering and applied math departments as part of
the Brain Institute. Through Brown’s Center for Computation and
Visualization (https://www.ccv.brown.edu), our group has access to a
state-of-the-art computing facility with includes over 300K GPU cores and
over 500 Teraflops of GPU computing power. Information about Dr. Serre and
his research group can be found at http://serre-lab.clps.brown.edu.

Requirements:

Applicants are expected to have finished, or be about to finish their Ph.D.
degrees. They must have a strong background in computer vision and/or
machine learning, with a track record of relevant publications at top
venues (such as NIPS, CVPR, ICCV, ICML or ECCV). Excellent programming
skills are required (C/C++/Matlab/Python). Programming experience in CUDA
and/or  parallel computing would be a strong plus.

Application:

Please send your applications by email to
thomas_serre at correct_university_name.edu where correct_university_name
should be replaced by ‘brown'. Please include a brief statement of
interests, a curriculum vita, a list of publications and contact details
for 2-3 letters of reference (no letters required at this stage). There is
no deadline for the application but applicants are encouraged to apply as
soon as possible as the position will be filled as soon as a suitable
applicant is found.
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