Overview
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.
Company:
Brown University
Qualifications:
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.
Specific requirements:
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.
Educational level:
Bachelor’s Degree
About Brown University
The mission of Brown University is to serve the community, the nation, and the world by discovering, communicating, and preserving knowledge and understanding in a spirit of free inquiry, and by educating and preparing students to discharge the offices of life with usefulness and reputation. We do this through a partnership of students and teachers in a unified community known as a university-college.
Located in historic Providence, Rhode Island and founded in 1764, Brown University is the seventh-oldest college in the United States. Brown is an independent, coeducational Ivy League institution comprising undergraduate and graduate programs, plus the Alpert Medical School and the School of Engineering.
With its talented and motivated student body and accomplished faculty, Brown is a leading research university that maintains a particular commitment to exceptional undergraduate instruction.
Brown’s vibrant, diverse community consists of 6,000 undergraduates, 2,000 graduate students, 400 medical school
