Internship: Visuomotor Modelling for Learning Robots
The Data Analytics group at MERL is seeking a highly motivated intern to work on the development of dynamical models for robot learning. The target applications will be the model and control of real robotic systems with end-to-end type algorithms. The successful candidate will collaborate with MERL researchers to develop and implement new modelling techniques in high dimensional space (e.g. image space) to be used in a Reinforcement Learning framework, conduct experiments on the robots and achieve scientific contributions for publications and/or patents. Ideal candidate would be senior PhD student with experience in one or more of the following areas: machine learning modelling techniques (such as Gaussian Processes, Deep Learning) and Reinforcement Learning. Strong programming skills in Python and familiarity with ROS are expected. Previous experience in working with robotics platforms and in computer vision projects is a plus.
Contact: Diego Romeres
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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