Opening: New Ph.D. Research Assistant
One fully-funded Ph.D. Research Assistant is available immediately at the Intelligent Control and Robotics (IcRobots) lab at the University of Rhode Island, this position will be involved in research on theory development of multi-agent distributed control and its applications to multi-robot coordination. If interested, send your CV and transcripts to cyuan@uri.edu
Requirements:
B.S. or M.S. in Automatic Control, Mechanical/Electrical Engineering, Applied Mathematics or related areas.
Knowledge in MATLAB, embedded system design, C++, Linux, ROS, and/or strong mathematical/control is preferred.
Minimum TOEFL requirement is 80 by graduate school. GRE can be waived for excellent students.
Opening: Two more new Ph.D. Research Assistants
Two fully-funded Ph.D. Research Assistants are available immediately at the Intelligent Control and Robotics (IcRobots) lab at the University of Rhode Island, these positions will be involved in research on design, modeling and control of energy-efficient autonomous underwater vehicles. If interested, send your CV and transcripts to both Prof. Mingxi Zhou at mzhou@uri.edu and Prof. Chengzhi Yuan at cyuan@uri.edu
*Required qualifications:
Possess a bachelor degree in engineering, computer science or relevant fields. Candidates who expect to receive the degree before the expected starting date (September 2022 or January 2023) is also qualified.
Familiar with Linux operating system and programming languages such as Python, C++,
Familiar with engineering software, e.g., Solidworks, MATLAB and ROS.
Other general admission criteria can be found on https://web.uri.edu/graduate-school/
*Preferred qualifications:
Possess a master degree in engineering, computer science or relevant fields. Candidate who expected to receive his master degree before the expected starting date (September 2022 or January 2023) is also qualified.
Strong background in mathematics and/or control.
Demonstrate previous experience in robotics with physical systems in, preferably, outdoor environment.
Demonstrate previous experience software developing using ROS middleware and OpenCV.
Demonstrate strong problem-solving capability, excellent communication skills, and scientific writing/reporting skills
Relevant experience in marine robotics will be considered as an asset.
Ongoing Project
“Large-Scale Additive Manufacturing of UUV Structure”, National Institute for Undersea Vehicle Technology (NIUVT), PI: H. Matos, Co-PI: C. Yuan, 09/01/2023 - 08/31/2024.
“Observability Aware Path Planning for Autonomous Navigation”, National Institute for Undersea Vehicle Technology (NIUVT), PI: P. Stegagno, Co-PI: C. Yuan, 01/15/2023 - 01/14/2024.
“Advancing Underwater Robots in Complex Environments”, National Science Foundation, PI: M. Zhou, Co-PI: C. Yuan, 09/01/2022 - 08/31/2025.
“Towards Computationally Efficient One-Shot Design for Performance-Critical Distributed Multi-Agent Control”, National Science Foundation, PI: C. Yuan, Co-PI: P. Stegagno, 09/01/2020 - 08/31/2024.
“Towards Accurate and Efficient Dynamics Modeling and Control for Soft Robots in Unstructured Environments”, National Science Foundation, PI: C. Yuan, 09/01/2019 - 08/31/2023.
Past Project
“FORE: Field Oriented Robotic Equipment”, The Champlin Foundation, PIs: M. Zhou, C. Roman, C. Yuan, P. Stegagno, S. Licht, 2020 - 2021.
“Advanced Modeling and Control Techniques for Distributed Heterogeneous Robot Swarm Coordination: Design and Experimentation”, URI Division of Research and Economic Development, PI: C. Yuan, 07/01/2019 - 06/30/2020.
“An in-House Printed Circuit Board (PCB) Fabrication Station”, The Champlin Foundation, PIs: T. Wei, H. He, P. Swaszek, Q. Yang, K. Mankodiya, G. Fischer, O. Gregory, J. Miller, Y. Zheng, C. Yuan, J. Peckham, 2017 - 2018.
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