The Unmanned Systems Lab at University of Texas at San Antonio has 1-2 fully funded PhD openings in the area of human-guided robotic behavior learning. The main research goal is to develop new human-guided reinforcement learning algorithms to enable fast/efficient robotic behavior learning. These challenges include, but not are limited to, human behavior learning/modeling, reinforcement learning under limited human guidance, multi-agent reinforcement learning, human-robot interactive learning.
Position description:
Required
- A Bachelor’s degree in electrical and computer engineering, computer science, mathematics, or a related field;
- Strong background in mathematics, statistics, and machine learning;
- Excellent writing and communication skills;
- Proficiency in C++ or Python.
Preferred
- Master’s degree
- Experience on Robot Operating System (ROS), reinforcement learning, and computer vision
- Experience on Tensorflow, Keras, or PyTorch.
- Demonstrated research experience (i.e., projects or publications)
How to apply:
Send the following documents in a single PDF file
- One-page cover letter describing your interest, goal, and how your background fits well;
- CV or resume
- Transcripts
to
yongc...@utsa.edu