Postdoctoral Fellow - Robotics Institute

We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., affective computing, AI for healthcare: pain measurement, monitoring mental health disorders).

The candidate will also be responsible for all facets of the project, including paper writing and student mentoring. Preference will be given to candidates with a proven track record, demonstrating relevant skills and extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions.

• Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users.
• Work with other team members to develop and maintain software for maximum efficiency and usability.
• Designs, develops, tests and maintains applications or system programs.
• Gathers and provides input on functional specifications and requirements.
• Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results.
• Follow appropriate research policies and procedures and maintain scientific integrity including accurate data storage.
• Communicate the daily progress of research projects via meetings with, and written reports to the research director.
• Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow.
• Optimize protocols and improve methods currently employed.
• Coordinate work consistently to achieve maximum productivity.
• Demonstrate ability to deal with changes in priorities to provide smooth and consistent workflow.
• Interact with interdisciplinary professional partners.
• Other duties as assigned.

REQUIRED:

• PhD in computer vision, machine learning, artificial intelligence, or a closely related field.
• Strong programming skills.
• Strong background in machine learning / computer vision / human behavior modeling, with specialization in one or more of the following areas: supervised / unsupervised / self-supervised learning, large vision models, multimodal foundation models, 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.

DESIRED:

• Publications in top machine learning and/or computer vision conferences and journals.
• Research experience involving clinical applications (e.g., depression, pain).
• Experience and/or enthusiasm for mentoring students.
• Experience analyzing questionnaires and surveys.
• Experience with grant proposal preparation and coordination.

Pittsburgh, PA

• 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.
• Access to the Family Concierge Team.
• Fitness center access.

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.