Research Associate II

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 complex research tasks including data collection, recording, storage, and analysis according to defined protocols.
• Communicate research progress through regular meetings and written reports to the research director.
• Collaborate with interdisciplinary professional partners to optimize research protocols and methods.
• Maintain scientific integrity through accurate data management and adherence to research policies.

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.
• Expertise in one or more areas: supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, or transfer 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, such as depression or pain studies.
• Experience or enthusiasm for mentoring students.
• Experience with grant proposal preparation and coordination.
• Experience analyzing questionnaires and surveys.

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 Family Concierge Team.
• Free Pittsburgh Regional Transit bus pass.

About the Company

Carnegie Mellon University is a world-renowned educational institution 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.