Postdoctoral Fellow - Robotics Institute
CMU AI · Pittsburgh, PA
Research instituteonsitepostdoc
At a glance
Highlights
- Analyze multimodal human behavior in real-world settings.
- Apply affective computing to healthcare for pain and mental health monitoring.
- Lead research from prototyping to papers while mentoring students.
What they offer
- Comprehensive medical, prescription, dental and vision insurance
- Generous retirement savings program with employer contributions
- Tuition benefits
- Paid time off and observed holidays
- Life and accidental death and disability insurance
- Free Pittsburgh Regional Transit bus pass, fitness center access and family support
Ideal candidate
Creative and energetic PhD excited by multimodal human behavior modeling and real-world healthcare impact. Collaborative researcher who enjoys mentoring students, publishing, and working across disciplines.
Requirements
- PhD in computer vision, machine learning, artificial intelligence, or closely related field
- Strong programming skills
- Strong background in machine learning, computer vision and human behavior modeling
- Research experience in multimodal human behavior analysis, affective computing and AI for healthcare
- Very good presentation, communication and organization skills
- Publications in top machine learning and computer vision venues (desired)
- Research experience with clinical applications such as depression or pain (desired)
- visa sponsorship
- No visa sponsorship
- hiring process
- Apply via CMU Workday with cover letter including availability date, detailed CV with publications, and three reference letters sent separately; applications missing documents are rejected.
Lab profile
About CMU AI
Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.
What they build
- Multimodal behavior analysis algorithms
- Autonomy systems
- Cybersecurity analytics prototypes
Known for
- Multimodal machine learning
- Computer vision and human behavior modeling
- AI engineering for defense
- Software engineering and cyber resilience
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