Ph.D. (with full graduate research assistantship-GRA) positions in Mechanical 
Engineering are immediately available within the research group of Dr. Yi Wang 
at the University of South Carolina-USC (Columbia/Main campus, 
https://research.cec.sc.edu/wang). 

Multiphysics Simulation, Machine Learning, and Design Optimization 
We will investigate and develop multiphysics simulation, reduced order modeling, 
machine learning, and design optimization methods for a variety of engineering 
applications, which include but not limited to thermal-fluidics, 
aerospace and aeroservoelasticity, additive manufacturing, and microfluidics & 
nanofluidics. 

Research efforts will include 
•	Development of multiphysics models and simulation techniques
•	Development of reduced order models for multiphysics engineering systems
•	Development of big data analytics, machine learning, and optimization 
algorithms

The preferred qualifications include: 
•	Strong background in linear algebra, and computational mathematics 
and/or mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM), in particular, multi-phase flow and fluid-structural 
interactions
•	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) (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 aerodynamics & aerospace, railroad engineering, micro/nanofluidics. 
CDS&E, recently emerging as a focal point of multidisciplinary research has been 
applied to essentially each phase of technology development and industrial 
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, academic 
transcript, (GRE/IELTS for Ph.D. applicant), etc. in a single PDF to Dr. Wang 
(yiwang@cec.sc.edu) with the email subject “Position Application”.