Internship: Autonomous Vehicle Control
MERL is looking for a highly motivated individual to work with MERL researchers on vehicle control, driven by the latest advancements in autonomous vehicles. The ideal candidate has a background in controls with applications to automotive. Knowledge and experience of any of the following techniques is considered a merit: model predictive control, sampling/graph-based motion planning, Bayesian inference. Proficiency in Matlab is expected, and knowledge of C/C++ is a plus. The duration of the internship is 3-6 months. Start date is flexible.
Research Area: Mechatronics
Contact: Karl Berntorp
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