We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics Institute. 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: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 maintains scientific integrity including accurate data storage.Communicate the daily progress of research projects via meetings with, and written reports to the research
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