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Internship: Learning-Based Stochastic Predictive Control

Company: Mitsubishi Electric Research Labs
Location: Cambridge
Posted on: June 3, 2021

Job Description:

MERL is looking for highly motivated interns to work in the domain of data-based controller design and algorithms for stochastic model predictive control (MPC) methods. The research involves the derivation, implementation, and validation of novel algorithms for optimization-based/data-driven control for industrial applications, e.g., related to autonomous driving and robotics. The ideal candidate has experience in either one or multiple of the following topics: stochastic MPC (e.g., scenario trees or tube MPC), (inverse) optimal control, convex and nonconvex optimization, parallel processing, real-time optimization, machine learning, statistical learning, and Bayesian inference. PhD students in engineering or mathematics, especially with a focus on stochastic and learning-based control or numerical optimization, are encouraged to apply. Publication of relevant results in conference proceedings or journals is expected. Capability of implementing the designs and algorithms in Matlab/Python is expected; coding parts of the algorithms in C/C++ is a plus. The expected duration of the internship is 3-6 months, and the start date is flexible. Given the current situation with COVID-19 pandemic, this internship will be done remotely from where you live.

Research Areas: Control, Machine Learning, Optimization

Contact: Karl Berntorp

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.

Keywords: Mitsubishi Electric Research Labs, Cambridge , Internship: Learning-Based Stochastic Predictive Control, Other , Cambridge, Massachusetts

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