Research Assistant

Responsibilities

• Develop novel theoretical and practical AI/ML algorithms focused on human behavior modeling and video classification using deep learning.
• Design, develop, test, and maintain software applications and system programs for maximum efficiency.
• Perform research tasks including the collection, recording, storage, and analysis of data according to defined protocols.
• Maintain accurate and detailed research records and ensure scientific integrity in data storage.
• Communicate daily research progress through meetings and written reports to the research director.
• Collaborate with interdisciplinary professional partners and optimize existing research methods and protocols.

Requirements

• Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.
• Strong programming skills.
• Deep background in machine learning, computer vision, or human behavior modeling.
• Specialization in areas such as supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, or transfer learning.
• Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, or multimodal machine learning.
• Excellent presentation, communication, and organizational skills.

Preferred Qualifications

• Publications in top-tier machine learning or computer vision conferences and journals.
• Research experience involving clinical applications (e.g., depression, pain).
• Experience 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 and ample paid time off.
• Access to fitness center facilities and a free Pittsburgh Regional Transit bus pass.
• Support through a Family Concierge Team for childcare needs.

About the Company

Carnegie Mellon University is one of the world’s most renowned educational institutions and a global leader in innovation. The Robotics Institute at CMU is at the forefront of developing technologies that change the world, fostering a vibrant and collaborative environment for talented researchers and professionals.