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 successful candidate will have primary responsibility for all
facets of the project, including papers writing and students
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.
RESPONSIBILITIES:
RESPONSIBILITIES:
- 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.