Internship: Bayesian Inference and Learning

Cambridge, Massachusetts, United States · CD · 1323 expand job description ↓

Description

The Control and Dynamical Systems (CD) group at MERL is seeking a highly motivated intern to advance the frontiers in the intersection of bayesian inference and learning. The ideal candidate has previous experience with at least some of sequential Monte Carlo methods, Gaussian processes, Kalman filtering, and target tracking. The candidate is expected to possess strong abilities in algorithm development and analysis. The internship start date is flexible. The duration is approximately 3 months, with possible extension. Publication of the results produced during the internship is expected.



Research Areas: Dynamical Systems, Machine Learning, Signal Processing

Contact: Jay Thornton


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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Are you qualified to apply for an internship at MERL? Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
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