MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in research on planning and control for autonomous vehicles in uncertain surrounding environments. The research domain includes algorithms for path planning and control in environments that are uncertain and perceived by sensing and predicted according to models and data. The ideal candidate is expected to be working towards a PhD with strong emphasis in vehicle guidance and control, and to have interest and background in as many as possible of: vehicle dynamics modeling and control, sensor uncertainty modeling, data-driven prediction, predictive control for uncertain systems, motion planning. Good programming skills in MATLAB, Python are required, knowledge of C/C++, rapid prototyping systems, automatic code generation, vehicle simulation packages (CarSim, CarMaker) or ROS are a plus. The expected start of of the internship is in the late Spring/Early Summer 2022, for a duration of 3-6 months.

MERL is seeking a highly motivated intern to conduct original research in high precision pose estimation of deformable objects. Applicants are required to have a strong background in image processing, machine vision and point cloud processing using depth cameras. The internship is open to PhD students, preferably specializing in Computer Vision, with a strong publication record, solid programming skills in Python and/or C/C++, and preferably some experience using tactile sensors. Internship duration and start date are flexible.

MERL is looking for a self-motivated intern to work on multimodal reasoning problems for robotic manipulation using vision and large-language models. The ideal candidate would be a PhD student with strong mathematical background and peer-reviewed publications in machine learning/reinforcement learning/imitation learning, robotic manipulation, and experience in working with training deep models on large scale computer vision and language models.
Proficiency in PyTorch, robotic simulators and working with physical robots is expected. The intern will conduct original research with MERL researchers towards scientific publications. The expected duration of internship is 3-4 months with start date in May/June 2023. This internship is preferred to be onsite at MERL.