Postdoctoral Fellow - Multimodal Machine Learning and Human Behavior Analysis

Overview:

We are seeking a creative and energetic Postdoctoral Fellow with strong experience in multimodal machine learning and human behavior analysis to join our team. The successful candidate will develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real-world settings.

Responsibilities:

• Write code and develop novel theoretical and practical state-of-the-art artificial intelligence/machine learning algorithms 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 affects or potentially could affect the project goals and workflow.
• Optimize protocols and improve methods currently employed.
• Coordinates work consistently to achieve maximum productivity.
• Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow.
• Interacts with interdisciplinary professional partners.
• Other duties as assigned.

Qualifications:

• 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.

Benefits:

• 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 our Family Concierge Team to help navigate childcare needs
• Fitness center access
• And many more benefits