Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
MERL is seeking a highly motivated and qualified intern to collaborate with multiple researchers on the implementation and experimental validation of algorithms for path/motion planning, optimal control and reference tracking in autonomous articulated vehicles. The ideal candidate has a background in either path planning or model predictive control (MPC) for autonomous (articulated) vehicles, and the candidate should be familiar with optimal control, vehicle dynamics, A* search, Matlab and Simulink, and C/C++ code generation. Any experience with dSPACE (e.g., MicroAutoBox or Scalexio) is a plus. MS or PhD students in control, robotics, electrical and mechanical, or related areas, are encouraged to apply. Start date for this internship is as soon as possible, and the expected duration is about 3-6 months. This internship requires work that can only be done at MERL.
Research Areas: Control, Dynamical Systems, Optimization, Robotics
Contact: Rien Quirynen
MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.
A primary intent of the program is to provide interns with experience that could help them enhance and accelerate their professional career, while also contributing to new or ongoing initiatives at MERL. Interns will be exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. We hope that all interns have a chance to become familiar with our organization and the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.
MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.
The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around February/March to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.
Mitsubishi Electric Research Laboratories (MERL) engages in application-motivated basic research and advanced development in areas of importance to Mitsubishi Electric. More than 50 PhDs pursue research and advanced development in a wide range of areas including digital signal processing, digital audio and video processing, wired and wireless digital communications, spoken language interfaces, computer vision, mechatronics and algorithms
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
0-2 year
Cambridge, MA, USA
2-4 year
Cambridge, MA, USA
0-2 year