Internship: Robot Learning

Cambridge, Massachusetts, United States · DA · 1104

Description

MERL is looking for a highly motivated intern to work on developing algorithms for robot learning. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publication. The candidate should have a strong background in reinforcement learning, Imitation Learning (or Learning from Demonstrations, LfD), machine learning and robotics. Prior experience of working with robotic systems is required. The candidate should be comfortable implementing the developed algorithms in Python and should have prior experience working with ROS. Prior exposure to deep learning and hands-on experience with packages such as Keras, TensorFlow, or Theano is a plus. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, Operations Research, Statistics, Applied Mathematics, or a related field, with relevant publication record. [The duration of the internship is at least 12 weeks.] The position is available for summer 2018. Interested candidates are encouraged to apply with their recent CV with list of related publications and links to GitHub repositories (if any).

Research Area: Data Analytics

Contact: Devesh Jha

Apply for this job