Internship: Applications of Predictive Control to Mechatronic Systems
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
Do you have a LinkedIn account? Import your resume and save time!