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.
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
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.
- 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
- 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),
- Proficiency with using and development with deep learning frameworks.
[How to apply]
Send an email with the subject [SVL Robotics Postdoc] to
[hidden email] with the following information:
- An up-to-date CV
- Links to Relevant publications (no more than three)
- List of two to three References
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
Research will be directed by Prof. Fei-Fei Li, Prof. Silvio Savarese and
Dr. Juan Carlos Niebles.