美国南卡罗莱纳大学机械工程系Prof. Yi Wang课题组诚招两名全奖博士
7800
Two Ph.D. Openings in Mechatronics, Autonomous Systems, Deep Learning, Image Processing
PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are available in Fall 2025, Spring 2026, and Fall 2026 within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, research.cec.sc.edu) to develop reliable autonomous systems. The GRA will fund PhD tuition, fees and health insurance, and stipend.
Position 1: Mechatronics and Autonomous Systems
This position focuses on the development of autonomous systems, such as drones, unmanned ground robots, and unmanned surface vessels. The development efforts include both software and hardware.
Required Qualifications:
· At least a Bachelor’s degree in a relevant engineering field of study from an accredited college or university.
· Experience with robotic system development and ROS programming.
· Strong interest and self-motivation to perform cutting-edge research and conquer challenges in real-world engineering and to publish high-impact papers
Preferred Qualifications:
· Hands-on experience with embedded system and electronics and control modules, such as Jetson TX series, Intel NUC, Raspberry Pi, and Arduino.
· Experience with VIS/NIR camera system or radar system.
· Experience in developing machine learning, signal processing, and optimization algorithms using Pytorch, TensorFlow, NumPy, and other relevant.
· Hands-on experience with programming in Python, Matlab, C/C++, or other object-oriented programming languages
Position 2: Deep Learning or Image Processing
This position focuses on developing image analysis, computer vision, and signal processing algorithms for applications such as traffic monitoring, structural health monitoring, and non-destructive testing. Additional research includes leveraging big data analytics and deep learning to address challenges in materials design & discovery, energy auditing & cybersecurity, system prognostics, and anomaly detection and identification.
Research efforts will include at least one of the followings
· Development of computer vision, image analysis, and signal processing algorithms
· Development of data mining, machine learning, and optimization algorithms
· Development of CPU+GPU computing algorithms
Preferred Qualifications:
· Strong background in linear algebra and computational mathematics and/or mechanics
· Experience in developing computer vision and image analysis codes using Pytorch, TensorFlow, OpenCV, and other relevant.
· Hands-on experience with computing in Matlab, C/C++, Python, or other object-oriented programming languages
· Strong interest and self-motivation to perform cutting-edge research and conquer challenges in real-world engineering and to publish high-impact papers
USC is the flagship university in the State of South Carolina, and the Ph.D. program at the department of Mechanical Engineering is ranked No. 31 nationally by the National Research Council (NRC) (me.sc.edu), and the College of Engineering and Computing is ranked No. 1 in the State of South Carolina for faculty research productivity.
The group of Dr. Wang focuses on computational and data-enabled science and engineering (CDS&E) and its applications in real-world multiphysics systems, including robotics and autonomy, additive manufacturing, aerodynamics & aerospace, railroad engineering. Our group aims to discover and develop new methodologies, framework, and capabilities to bridge CDS&E and system engineering in the real world and with particular emphasis on multiphysics and engineering intelligence. To apply, please send your CV/Resume, publications, etc. in a single PDF to Dr. Wang (1point3acres.com) with the email subject “Position Application”.
PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are available in Fall 2025, Spring 2026, and Fall 2026 within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, research.cec.sc.edu) to develop reliable autonomous systems. The GRA will fund PhD tuition, fees and health insurance, and stipend.
Position 1: Mechatronics and Autonomous Systems
This position focuses on the development of autonomous systems, such as drones, unmanned ground robots, and unmanned surface vessels. The development efforts include both software and hardware.
Required Qualifications:
· At least a Bachelor’s degree in a relevant engineering field of study from an accredited college or university.
· Experience with robotic system development and ROS programming.
· Strong interest and self-motivation to perform cutting-edge research and conquer challenges in real-world engineering and to publish high-impact papers
Preferred Qualifications:
· Hands-on experience with embedded system and electronics and control modules, such as Jetson TX series, Intel NUC, Raspberry Pi, and Arduino.
· Experience with VIS/NIR camera system or radar system.
· Experience in developing machine learning, signal processing, and optimization algorithms using Pytorch, TensorFlow, NumPy, and other relevant.
· Hands-on experience with programming in Python, Matlab, C/C++, or other object-oriented programming languages
Position 2: Deep Learning or Image Processing
This position focuses on developing image analysis, computer vision, and signal processing algorithms for applications such as traffic monitoring, structural health monitoring, and non-destructive testing. Additional research includes leveraging big data analytics and deep learning to address challenges in materials design & discovery, energy auditing & cybersecurity, system prognostics, and anomaly detection and identification.
Research efforts will include at least one of the followings
· Development of computer vision, image analysis, and signal processing algorithms
· Development of data mining, machine learning, and optimization algorithms
· Development of CPU+GPU computing algorithms
Preferred Qualifications:
· Strong background in linear algebra and computational mathematics and/or mechanics
· Experience in developing computer vision and image analysis codes using Pytorch, TensorFlow, OpenCV, and other relevant.
· Hands-on experience with computing in Matlab, C/C++, Python, or other object-oriented programming languages
· Strong interest and self-motivation to perform cutting-edge research and conquer challenges in real-world engineering and to publish high-impact papers
USC is the flagship university in the State of South Carolina, and the Ph.D. program at the department of Mechanical Engineering is ranked No. 31 nationally by the National Research Council (NRC) (me.sc.edu), and the College of Engineering and Computing is ranked No. 1 in the State of South Carolina for faculty research productivity.
The group of Dr. Wang focuses on computational and data-enabled science and engineering (CDS&E) and its applications in real-world multiphysics systems, including robotics and autonomy, additive manufacturing, aerodynamics & aerospace, railroad engineering. Our group aims to discover and develop new methodologies, framework, and capabilities to bridge CDS&E and system engineering in the real world and with particular emphasis on multiphysics and engineering intelligence. To apply, please send your CV/Resume, publications, etc. in a single PDF to Dr. Wang (1point3acres.com) with the email subject “Position Application”.
