Carnegie Mellon University’s Robotics Institute is searching for a Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability. Designs, develops, tests and maintains applications or system programs. Gathers and provides input on functional specifications and requirements Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results. Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage. Communicate the daily progress of research projects via meetings with, and written reports to the research director. Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work consistently to achieve maximum productivity. Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow. Interacts with interdisciplinary professional partners. Other duties as assigned.
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Job Type
Part-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees