Internship: Monitoring Vital Signs Using Computer Vision and Machine Learning from Video

  • Internship
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MERL is looking for a highly motivated intern to conduct original research into estimating vital signs such as heart rate, variability, and blood pressure from video footage of a person. The chosen candidate will need to use the latest methods in deep learning, computer vision, and signal processing to create and implement new models, collect data, conduct experiments, and prepare results for publication, working in tandem with MERL researchers. The candidate should be a Ph.D. student in computer vision with a strong record of publications, and experience in computer vision, signal processing, machine learning, and health monitoring. The chosen candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and have strong programming skills in Python and Pytorch. The start date is flexible; the duration should be at least 3 months. Research Areas: Computer Vision, Machine Learning, Signal Processing Contact: Tim Marks Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL firmly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Inappropriate interference with the ability of MERL’s employees to execute their job duties may result in strict measures including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that falls under governmental access control restrictions, due to export controls. Employment is dependent on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include, but is not limited to, obtaining an export license or other documentation. MERL may delay the start of employment, retract an offer of employment, terminate employment, and/or alter job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems suitable, to ensure effective compliance with applicable employment law and government access control restrictions.