MERL is seeking an outstanding candidate to collaborate in the development of motion planning and control for autonomous articulated vehicles. The ideal candidate is expected to be working towards a PhD in electrical, mechanical, aerospace engineering, robotics, control or related areas, with a strong emphasis on motion planning and control, possibly with applications to ground vehicles. The candidate should have experience in at least some of the following: path/motion planning algorithms (A*, D*, graph-search) and optimization-based control (e.g., model predictive control). Excellent coding skills in MATLAB/Simulink and a strong publication record are also required. The expected start date is Spring/Early Summer 2025, with a duration of 6-9 months, depending on candidate availability and interests.
Required Specific Experience
* Path/motion planning algorithms (A*, D*, graph-search)
* Nonlinear model predictive control
* Programming in MATLAB/Simulink
* Applications to mobile robots or vehicles
Additional Useful Experience
* Nonlinear MPC Design in CasADi
* Code tools and dSPACE
* Applications to autonomous vehicles and articulated vehicles
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