Postdoctoral Fellow - Robotics Institute

Carnegie Mellon University • Pittsburgh, PA

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About The Position

Carnegie Mellon University is seeking a creative and energetic candidate with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year postdoctoral position. The fellow will use recent advances in machine learning and artificial intelligence to develop, implement, and test algorithms for analyzing and recognizing multimodal human behavior in real-world settings, including affective computing and healthcare applications such as pain measurement and mental health monitoring.

The fellow will have primary responsibility for the project’s work, including writing papers and mentoring students, and will collaborate with partners across disciplines and institutions. The position is based in Pittsburgh, Pennsylvania, and is a full-time, fixed-term postdoctoral appointment. Applicants must be legally authorized to work for CMU in the United States; CMU will not sponsor or assume sponsorship of an employment visa for this opportunity.

Requirements

• PhD 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: 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.
• Very good presentation, communication, and organization skills.

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, including video classification using deep learning networks for end users.
• 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 and procedures, including collecting, recording, storing, and analyzing data and reporting results.
• Follow research policies and procedures and maintain scientific integrity, including accurate data storage.
• Communicate daily research progress through meetings with and written reports to the research director.
• Follow mandatory reporting procedures for incidents or events that affect or could potentially affect project goals and workflow.
• Optimize protocols and improve existing methods.
• Coordinate work to achieve maximum productivity and adapt to changes in priorities to maintain a smooth workflow.
• Interact with interdisciplinary professional partners.
• Write papers and mentor students.
• Perform other duties as assigned.

Benefits

• Comprehensive medical, prescription, dental, and vision insurance.
• Retirement savings program with employer contributions.
• Tuition benefits.
• Paid time off and observed holidays.
• Life insurance and accidental death and disability insurance.
• Free Pittsburgh Regional Transit bus pass.
• Family Concierge Team to help navigate childcare needs.
• Fitness center access.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree