Computational (Thomas Serre) and developmental (Dima Amso) labs in the Department of Cognitive, Linguistic, & Psychological Sciences are seeking an NIH-funded research assistant to work on the development of tools, including machine learning and computer vision, appropriate to examining naturalistic interactions in typical and atypical development. Candidates are expected to have solid background in computer vision and/or machine learning. Prior experience with depth sensors (kinect), tracking, object recognition and/or background subtraction algorithms would be a strong plus. An interest in development or cognitive science and applications of computer vision to the biological sciences would also be a 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. Requirements: Applicants are expected to have finished, or be about to finish a BS or MSc in computer science or related discipline. They must have a strong background in computer vision and/or machine learning and excellent programming skills (C/C++/Matlab/Python). Programming experience in CUDA and/or parallel computing would be a strong plus. Research groups: Our research groups are 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 groups have 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. Information about Dr. Amso and her research group can be found at http://research.clps.brown.edu/dcnl. Application: Please send your applications by email to dima_amso@correct_university_name.edu and 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 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.