[robotics-worldwide] [jobs] PhD positions on AI and robotics

Yu Zhang Yu.Zhang.442 at asu.edu
Fri Dec 23 12:36:53 PST 2016

The Cooperative Robotic Systems laboratory (CRS lab) at ASU has multiple PhD Research Assistant positions available for highly self-motivated students. The lab's research areas include human-robot teaming, distributed robot systems, multi-agent planning, automated planning and human-robot interaction. Successful candidates are expected to pursue independent research intersecting robotics, classical AI, and machine learning, as well as in emerging interdisciplinary research areas, such as human-aware robotics and cyber-physical systems.

The CRS lab has access to a dedicated lab space in the Brickyard Engineering building in Downtown Tempe, as well as a spacious shared lab for running collaborative and large scale experiments. The CRS lab has access to several state-of-the-art robotic systems and is in the process of obtaining more soon. You can learn more about the CRS lab at: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.public.asu.edu_-7Eyzhan442_CRS.html&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Bki1YhxY0h-TAyHRPoUxTQOo0lS49jKhe9lDqn9usug&s=qg4j0XVcinSJ4jpuiexR2AftviV_g86XI23xh3bkd3o&e= 

The successful candidates will have opportunities to conduct both analytical and hands-on research, publish papers in professional conferences and journals, and present research results in major academic conferences. The candidates are expected to have a Bachelors or Masters degree in Computer Science, Machine Learning, Computer Engineering, Electronic Engineering, Mathematics or other related fields, strong background in math and algorithm design, and research experience in one or more of the following:

- Planning & learning for autonomous systems;
- Multi-robot & multi-agent cooperation;
- Human activity understanding and model learning;
- Decision making with humans in the loop;
- Human-robot interaction and system evaluation;
- Systems integration with ROS; hands-on experience with physical robotic systems.
(Prior publications in international robotics, AI and machine learning conferences or journals is a big plus.)

To apply, please submit a brief cover letter describing your interest and goal, CV, transcript, 1-2 representative publications (if available), and other supporting documents in a single PDF file to Dr. Yu ("Tony") Zhang at yzhan442 at asu.edu<mailto:yzhan442 at asu.edu>. Applications will be reviewed as they arrive.

Yu ("Tony") Zhang
Assistant Professor, CSE
CIDSE, Arizona State University

ASU is the largest public research university in the United States, with a 2015 student enrollment over 80,000. U.S. News & World Report ranks ASU #1 in the "Most Innovative Schools" in 2015 and 2016. ASU is located near the Phoenix area, which is the 5th largest city in the US.

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