We are seeking postdoctoral fellows with interest and experience in computational approaches for quantifying human social behavior. This research is conducted at the University of Pennsylvania and the Center for Autism Research at Children’s Hospital of Philadelphia, as a part of multiple NIH grants. The applicant will be part of a big multidisciplinary team that develops AI tools to study human behavior (facial and bodily movements) during social interactions. Our research is a unique blend of machine learning, computer vision, cognitive science, bioinformatics, and mental health conditions. The fellow will be responsible for all or some of the following tasks, depending on the expertise: - Developing computer vision techniques (e.g., face analysis, body movement analysis, gesture analysis) - Developing signal processing methodologies to analyze biological and behavioral signals (e.g., head movements, joint movements) - Developing time series analysis techniques to extract patterns in biological and behavioral signals (e.g., coordination and causality in movements of multiple people) - Validating developed tools using in-house clinical data, as well as publicly available datasets - Performing pattern recognition on collected data (i.e., classification, regression, clustering, feature learning)