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@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.