Internship: Human Activity Prediction

Cambridge, Massachusetts, United States · CV · 1287

Description

MERL is looking for a self-motivated intern to work on problems related to human action recognition and anticipation. The ideal candidate would be a PhD student with a strong mathematical background in machine learning and computer vision. The candidate must have prior experience in using deep learning on human poses (2D/3D). Working knowledge of generative adversarial networks and deep learning methods for video understanding will be a plus. Proficiency in Python and flexibility in using diverse deep learning software (TensorFlow, Pytorch, Keras, etc.) is expected. The internship is for 3 months with flexible start date.



Research Areas: Computer Vision

Contact: Anoop Cherian


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 nondiscrimination 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 expressly 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. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.

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