Research Associate II - Robotics Institute

We are seeking a full-time Research Associate II in computer vision and machine learning to investigate new algorithms and models for analyzing and understanding human behavior from video. The role focuses on designing efficient perceptual algorithms for behavioral cue extraction and novel approaches for modeling human interaction, with applications in medical research and affective computing.

Responsibilities

• Write code and develop novel theoretical and practical state-of-the-art artificial intelligence/machine learning algorithms for human behavior modeling related to video classification using deep learning networks.
• Work with team members to develop and maintain software for maximum efficiency and usability.
• Design, develop, test, and maintain applications or system programs.
• Gather and provide input on functional specifications and requirements.
• Perform approved research project tasks according to defined protocols and procedures, including data collection, recording, storage, analysis, and reporting of results.
• Follow research policies and procedures, maintaining scientific integrity, including accurate data storage.
• Communicate daily progress of research projects via meetings and written reports to the research director.
• Responsible for following mandatory reporting procedures for any incident or event that affects or could affect project goals and workflow.
• Optimize protocols and improve methods currently employed.
• Coordinate work consistently to achieve maximum productivity and adapt to changes in priorities for smooth workflow.
• Interact with interdisciplinary professional partners.
• Other duties as assigned.

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, with specialization in one or more of the following areas:
  • Supervised/unsupervised/self-supervised learning
  • Large vision models
  • Multimodal foundation models
  • Transfer learning
• Research experience in multimodal human behavior analysis, affective computing, AI for healthcare, and multimodal machine learning.
• Very good presentation, communication, and organization skills.

Qualifications

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

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Generous retirement savings program with employer contributions.
• Tuition benefits.
• Ample paid time off and observed holidays.
• Life and accidental death and disability insurance.
• Free Pittsburgh Regional Transit bus pass.
• Access to Family Concierge Team for childcare navigation.
• Fitness center access.

Location: Pittsburgh, PA
Position Type: Full-time, Fixed Term (Staff)
Training: OSHA Hazardous Materials Safety Training