Develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real-world settings for applications like Affective Computing and AI for Healthcare.
Requirements
- 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.
- Publications in top machine learning and/or computer vision conferences and journals.
- Research experience involving clinical applications (e.g., depression, pain).
- Experience analyzing questionnaires and surveys.
- Experience with grant proposal preparation and coordination.
Responsibilities
- Develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings
- 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.
- Optimize protocols and improve methods currently employed.
Other
- Postdoctoral position
- Primary responsibility for all facets of the project, including papers writing and students mentoring.
- Enthusiastic about collaborating with partners from multiple disciplines and institutions.
- 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.
