Research Associate II - Robotics Institute

Carnegie Mellon University•Pittsburgh, PA

About The Position

Carnegie Mellon University’s Robotics Institute is seeking a part-time Research Associate II in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate algorithms and models for analyzing human behavior from video, including efficient perceptual algorithms for behavioral cue extraction and methods for modeling people’s interactions using one or multiple cameras. Applications include medical research and affective computing. Under general supervision, the Research Associate II designs experiments and research protocols and performs complex analysis to report results. The role develops artificial intelligence and machine-learning algorithms for video classification and human behavior modeling, and works with team members to develop and maintain effective, usable software and applications. The position also carries out approved research tasks, manages and analyzes data according to protocols, reports research progress, and follows applicable research policies and procedures.

Requirements

Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.
Strong programming skills.
Strong background in machine learning, computer vision, or human behavior modeling, specializing in one or more of the following: supervised, unsupervised, or self-supervised learning; large vision models; multimodal foundation models; or transfer learning.
Research experience in multimodal human behavior analysis, affective computing, AI for healthcare, and multimodal machine learning.
Strong analytical skills.
Strong oral and written communication skills.
Strong problem-solving and reasoning skills.
Very good presentation, communication, and organization skills.
Three to five years of research experience.
Three to five years of research methodology experience.
Three to five years of data collection and analysis experience.
A bachelor's degree is listed; the posting states that a combination of education and relevant experience demonstrating comparable knowledge may be considered.
Applicants must be currently legally authorized to work for CMU in the United States; CMU will not sponsor or take over sponsorship of an employment visa.

Nice To Haves

Publications in top machine-learning and/or computer-vision conferences and journals.
Research experience involving clinical applications, such as depression or pain.
Experience and/or enthusiasm for mentoring students.
Experience analyzing questionnaires and surveys.
Experience with grant proposal preparation and coordination.

Responsibilities

Write code and develop novel theoretical and practical AI and machine-learning algorithms for human behavior modeling and video classification using deep-learning networks.
Work with team members to develop and maintain software for efficiency and usability.
Design, develop, test, and maintain applications or system programs.
Gather and provide input on functional specifications and requirements.
Perform approved research tasks according to defined protocols, including appropriate data collection, recording, storage, analysis, and reporting of results.
Follow research policies and procedures and maintain scientific integrity, including accurate data storage.
Communicate daily research project progress through meetings with and written reports to the research director.
Follow mandatory reporting procedures for incidents or events that have affected or could potentially affect project goals and workflow.
Optimize protocols and improve existing methods.
Coordinate work to achieve productivity and adapt to changing priorities to maintain a consistent workflow.
Interact with interdisciplinary professional partners.
Perform other duties as assigned.