Internship: Applications of Predictive Control to Mechatronic Systems

Cambridge, Massachusetts, United States · ME · 1063 expand job description ↓


MERL is seeking a highly motivated individual for collaboration on

predictive control theory and its applications. The ideal candidate is

expected to have a fundamental understanding of graduate-level control

theory with experience in some of the following areas: model predictive

control, reference governors, modeling of physical systems and

automotive vehicle control. Proficiency in Matlab is expected, and

knowledge of C/C++ is a plus. The publication of results in relevant

journal and conference proceedings is expected. The duration of the

internship will be at least 3 months, with a start date between April

and July of 2016. Ph.D. candidates in the field of engineering are

encouraged to apply.

Research Area: Mechatronics

Contact: Uros Kalabic

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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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