Carnegie Mellon University Recruitment 2026: Postdoctoral Fellow – Robotics Institute (Multimodal Machine Learning & Human Behavior Analysis)

Carnegie Mellon University Recruitment 2026: Postdoctoral Fellow – Robotics Institute (Multimodal Machine Learning & Human Behavior Analysis)

The Robotics Institute, Carnegie Mellon University (CMU), USA, invites applications for a Postdoctoral Fellow position focused on Multimodal Machine Learning and Human Behavior Analysis. This one-year postdoctoral opportunity is ideal for researchers with expertise in artificial intelligence, deep learning, computer vision, multimodal learning, and affective computing.

The successful candidate will lead cutting-edge research aimed at developing intelligent AI systems capable of analyzing and recognizing complex human behaviors in real-world environments, with applications in healthcare, affective computing, and behavioral analytics.

Position Details

About the Opportunity

The Carnegie Mellon University Robotics Institute is seeking a creative and highly motivated postdoctoral researcher with strong expertise in multimodal machine learning and human behavior analysis.

The selected researcher will develop, implement, and evaluate state-of-the-art AI algorithms capable of recognizing and understanding human behavior using multiple data modalities, including video, facial expressions, gestures, and acoustic signals.

The project focuses on real-world applications such as:

• Affective Computing

• AI for Healthcare

• Pain Assessment

• Mental Health Monitoring

• Human Behavior Understanding

Research Focus

The research project aims to develop advanced multimodal AI systems for:

• Human behavior recognition

• Video understanding

• Deep learning-based behavioral modeling

• Facial expression analysis

• Gesture recognition

• Acoustic signal processing

• Healthcare-focused artificial intelligence

• Intelligent multimodal perception

Key Responsibilities

The selected Postdoctoral Fellow will:

• Develop novel multimodal machine learning algorithms for human behavior modeling.

• Design, implement, and evaluate deep learning models for video classification and behavior recognition.

• Conduct cutting-edge research in artificial intelligence and machine learning.

• Develop and maintain research software and AI applications.

• Design, test, and optimize AI systems for maximum efficiency and usability.

• Collect, manage, analyze, and interpret research data.

• Prepare scientific publications, technical reports, and conference presentations.

• Mentor graduate and undergraduate students involved in the research project.

• Collaborate with interdisciplinary researchers and institutional partners.

• Ensure compliance with research protocols, data management practices, and scientific integrity standards.

Research Areas

The position offers opportunities to work in several advanced research domains, including:

• Artificial Intelligence (AI)

• Machine Learning

• Deep Learning

• Multimodal Learning

• Computer Vision

• Human Behavior Analysis

• Affective Computing

• Video Analytics

• Facial Expression Recognition

• Gesture Recognition

• Acoustic Signal Processing

• AI for Healthcare

• Mental Health Analytics

• Human-Centered AI

Essential Qualifications

Applicants should possess:

• A Ph.D. in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Electrical Engineering, Computer Engineering, or a closely related discipline.

• Strong expertise in multimodal machine learning and human behavior analysis.

• Experience developing deep learning algorithms and AI models.

• Excellent programming, analytical, and research skills.

• Strong publication record in relevant AI or machine learning research.

• Excellent written and verbal communication skills.

Preferred Qualifications

Preference will be given to candidates with experience in:

• Computer Vision

• Deep Neural Networks

• Video Classification

• Facial and Gesture Analysis

• Acoustic Signal Processing

• Affective Computing

• AI in Healthcare

• Human Activity Recognition

• Multimodal Data Fusion

• Student mentoring and collaborative research

Why Join Carnegie Mellon University's Robotics Institute?

The selected researcher will have the opportunity to:

• Conduct world-leading research at one of the world's premier robotics institutions.

• Work on innovative AI technologies with real-world healthcare and behavioral applications.

• Collaborate with internationally recognized researchers across multiple disciplines.

• Publish in top-tier AI, machine learning, and computer vision conferences and journals.

• Mentor students and contribute to the next generation of AI research.

• Access state-of-the-art computing resources and research facilities.

How to Apply

Interested candidates should submit their application through the official Carnegie Mellon University careers portal, ensuring all required application materials are uploaded before the specified deadline.

Applicants are advised to carefully review the detailed eligibility criteria and application requirements in the official recruitment announcement before applying.

Official Source

Organization: Carnegie Mellon University

Department: Robotics Institute

Position: Postdoctoral Fellow

Researchers with expertise in artificial intelligence, multimodal machine learning, computer vision, affective computing, deep learning, and human behavior analysis are encouraged to apply for this exciting postdoctoral opportunity at Carnegie Mellon University's world-renowned Robotics Institute.

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