POSITION: Postdoctoral position for robot learning in manipulation tasks

SUPERVISOR: Prof. Scott Niekum

LOCATION:
Personal Autonomous Robotics Lab
Department of Computer Science
The University of Texas at Austin
http://www.cs.utexas.edu/~sniekum/

DESCRIPTION: The Personal Autonomous Robotics Lab at UT Austin is hiring a postdoctoral fellow to conduct research on multiple aspects of robot learning in manipulation tasks. Topics of interest include learning from demonstration, reinforcement learning, probabilistically “safe” learning, active learning, perception, natural language processing, and human-robot interaction.

Additionally, the postdoctoral fellow will be appointed as a part-time research educator as part of UT’s Freshman Research Initiative (https://cns.utexas.edu/fri), mentoring a new “stream” of ~30 undergraduates in learning from demonstration research. This work will culminate in the collection and release of a learning from demonstration dataset of unprecedented size and scope that will facilitate novel research in the lab and the wider robotics community.

This will be a 2-year position and requires a doctoral degree in computer science or a related field with expertise in robotics, machine learning, and strong programming skills. Hands-on experience working with robot systems is required, preferably having worked previously with manipulators. Significant experience using C++, Python, Linux, and ROS is necessary. The candidate must have excellent organizational and technical skills as well as excellent written and oral English communication skills.

APPLICATION DETAILS: This position is open immediately, and will remain open until filled. The start date is Summer or Fall 2018. Please submit a CV, brief statement of research interests, and a list of three references (including email addresses) to [javascript protected email address]. Optionally, you may also include a link to relevant code samples, such as a Github repository or an open-source ROS packages you have released.