美国南卡罗莱纳大学机械工程系Prof. Yi Wang诚聘博士后及博士研究生(全奖)CV,ML,DL

美国南卡罗莱纳大学机械工程系Prof. Yi Wang课题组诚聘博士后及博士研究生(全奖) Computer Vision, Deep Learning, Big Data 方向
Multiple Postdoc positions and PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are available immediately or starting in Fall 2022 within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, https://yiwangusc.wixsite.com/yiwang).


1. Real-time Image Analysis and Computer Vision
We will investigate and develop image analysis and computer vision models and algorithms for a variety of real-time engineering applications on edge computing platforms, which include but not limited to traffic monitoring and assessment and maritime environmental surveillance.
2. Big Data Analytics and Deep Learning
We will investigate and develop big data analytics and deep learning models and algorithms for scientific and engineering applications, which include but not limited to materials design & discovery, energy auditing & cybersecurity, system prognostics, and anomaly detection and identification.
3.        Fluid-Structural Interaction and Aeroelasticity Reduced Order Modeling and Optimization
We will investigate and develop reduced order modeling, physics-informed neural network (PINN), and design optimization methods for fluid structural interaction and aeroservoelasticity.
4.        Unmanned Autonomous Systems and Control
We will investigate and develop computer vision-based control (visual-servoing) algorithms and strategies for unmanned systems, in particular UAVs.
Research efforts will include at least one of the followings
•        Development of reduced order models and neural network models for multiphysics engineering systems
•        Development of computer vision, image analysis, and signal processing algorithms
•        Development of control algorithms for various autonomous systems (Unmanned aerial vehicle/UAV, unmanned ground vehicle/UGV, and unmanned surface vessel/USV).
•        Development of data mining, machine learning, and optimization algorithms
•        Development of CPU+GPU computing algorithms
At least one of the qualifications below is preferred:
•        Strong background in control theory, linear algebra, and computational mathematics and/or mechanics
•        Experience in developing numerical models, codes, and computation algorithms (CFD and FEM)
•        Experience in developing autonomous control, in particular UAV flight control (Pixhawk with ROS/PX4) and hardware-software interface for unmanned systems.
•        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
•        Hands-on experience with embedded system and edge-computing modules, such as Jetson TX series, Intel NUC, Raspberry Pi, and Arduino.
•        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) (http://www.me.sc.edu/about/), 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. CDS&E, recently emerging as a focal point of multidisciplinary research has been applied to essentially each phase of technology development and industrial engineering, from conceptualization, virtual prototyping and design, and automation and control, to final verification and validation (V&V). 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 (for Ph.D. applicants, transcripts, and GRE scores are also required) to Dr. Wang (yiwang@cec.sc.edu) with the email subject “Position Application”.

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