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Job ID: 180606

Postdoc and Ph.D. Openings in Computation, Machine Learning, and Control
University of South Carolina

Date Posted Mar. 7, 2022
Title Postdoc and Ph.D. Openings in Computation, Machine Learning, and Control
University University of South Carolina
Columbia, SC, United States
Department Mechanical Engineering
Application Deadline Jul. 15, 2022
Position Start Date Jan. 1, 2021
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Several Postdoc positions and PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are available in Spring and Fall 2022 within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus,

1. Reduced Order Modeling, Machine Learning, and Design Optimization for Multiphysics Engineering Systems
We will investigate and develop reduced order modeling, physics-informed neural network (PINN), and design optimization methods for multiphysics systems for a variety of engineering applications, which include but not limited to thermal-fluidics, aerospace and aeroservoelasticity, energy materials and management, additive manufacturing, and microfluidics & nanofluidics.

2. Real-time Computing, Computer Vision and Control on Edge Computing
We will investigate and develop real-time control framework, algorithms, and cyberphysical systems for a variety of engineering applications on edge computing platforms, which include but not limited to energy auditing & cybersecurity, traffic monitoring and prognostics, and robotics and autonomous systems (real-time fault detection & mitigation, path planning, and control).

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 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) (, 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 ( with the email subject "Position Application".

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Yi Wang
    Mechanical Engineering
    University of South Carolina
    300 Main Street
    Columbia, SC 29208


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