Applications are invited for a postdoctoral fellow of up to two years,
possibly renewable for additional years, in the Department of Computer
Science. The position will be joint across Prof. Mooney's Machine
Learning Research Group and Prof. Stone's Learning Agents Research Group
within the Artificial Intelligence Laboratory.
Primary responsibilities include performing cutting-edge research in
collaboration with faculty and Ph.D. students.
The research will focus on developing robust, adaptive, interactive
intelligent robots in an indoor environment that are capable of natural
language interaction. Specifically, the goal is to develop human-robot
dialog systems that learn to communicate with users through natural
dialog, learning from repeated user interactions to become more robust
and capable through normal use.
QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or
related field. Experience in intelligent robotics and/or natural
language processing is essential. Experience in grounded natural language,
machine learning, and/or human-robot interaction is preferable, as is
programming in ROS.
- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found
This position is to start in the fall of 2017 or at any agreed later
Applications will be reviewed as they are received.