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Postdoc at Stanford AI Lab in Robot Learning at SAIL-Toyota AI Research Center

Country : USA - United States

Website : http://aicenter.stanford.edu

Description

SAIL-Toyota AI Research Center in Collaboration with the Stanford Vision and Learning Group (SVL) is looking for a postdoctoral scholar to help lead research projects in Computer Vision, Reinforcement Learning & Robotics.
The Stanford-Toyota Research Center brings together researchers from fields such as visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, and dynamic modeling and design. The focus is on the development of innovative and impactful approaches, algorithms, and data, with a comprehensive approach that includes research in perception, learning, reasoning, and interaction.
[Project Description]
The mission of the project is to endow autonomous robots the ability to perceive complex tasks. The research will involve leading and executing a research vision in Learning and Semantic Reasoning to achieve generalization in robotics. This effort touches on all fields of robotics: Sensing and Vision, Reinforcement Learning, and planning & control. The lab has expertise and platforms for social robot mobility and robot manipulation.
Additional responsibilities include developing research objectives and proposals; presentations and publications; liaising and networking with colleagues and students; planning and organizing research resources and workshops. The candidate will also be actively involved in mentoring students in SVL.
[Requirements]
- PhD degree in computer science, robotics, engineering or related field.
- Extensive experience with robotics research demonstrated by a strong track record of academic publications.
- Expertise in one or more of the following: Deep Learning, Reinforcement Learning, Robotics.
- Knowledge of Linux and development on Linux systems; proven system integration and software architecture skills; and knowledge of modern software development practices and engineering tools, specifically experience with simulation environments and ROS (Robot Operating System), is desired.
- Proficiency with using and developing with deep learning frameworks.
[How to apply]
Send an email with the subject [SVL Robotics Postdoc] to garg-AT-cs.stanford.edu with the following information:
- An up-to-date CV
- Links to Relevant publications (no more than three)
- List of two to three References
[Dates]
Closing Date: Sept 15, 2017.
Interviews are expected to happen in mid-September 2017.
A skype interview will be possible for applicants who cannot attend in person.
[Contact]
Research will be directed by Prof. Fei-Fei Li, Prof. Silvio Savarese and Dr. Juan Carlos Niebles.
For questions please contact:
Animesh
Garg: garg-AT-cs.stanford.edu
Kindly use the subject line -- [SVL Robotics Postdoc]

Last modified: 2017-08-15 10:51:20