炫诊

学校：南卡罗莱纳大学 (University of South Carolina)

院系：Department of Mechanical Engineering (Ph.D. program ranked No. 31 nationally by the National Research Council).

课题组及导师: Integrated Multiphysics & Systems Engineering Laboratory of Prof. Yi Wang (https://yiwangusc.wixsite.com/yiwang)

课题组研究方向: Computational and data-enabled science and engineering (CDS&E) for multiphysics and multiscale systems

招聘职位研究方向: (1) 开发多物理系统降阶模型及实时仿真 (Development of reduced order models and real-time simulation for multiphysics engineering systems); (2) 工程系统数据挖掘及机器学习 (Development of data mining and machine learning algorithms); (3) 拓扑优化算法 (Development of topology optimization algorithms.)

入学时间: 2020秋季

申请要求:
1.        计算力学,  机械，航天航空，化工，民用，电子, 计算数学等相关专业硕士或本科毕业生
2.        具有较强数值建模，线性代数及计算力学背景
3.        具有数值建模，工程计算算法及编程经验（如计算流体力学及有限元计算）

联系方式：有意者请将个人简历，发表论文, 英文成绩及成绩单(博士职位应聘者)发至邮箱：yiwang@cec.sc.edu

学校简介:
University of South Carolina 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.  

导师简介
Yi Wang obtained his B.S. and M.S. in Machinery and Energy Engineering from Shanghai Jiao Tong University, P.R.China in 1998 and 2000, respectively; and his Ph.D. in Mechanical Engineering from the Carnegie Mellon University in 2005. Currently he is an associate professor of mechanical engineering and is the principal investigator (PI) of the Integrated Multiphysics & Systems Engineering Laboratory (iMSEL) at the University of South Carolina. He has served as a PI or a Co-PI on multiple DoD, NASA-, and NIH-funded projects to develop advanced methodologies and techniques in computational and data-enabled science and engineering (CDS&E), including reduced order modeling, data reduction, large-scale and/or real-time data analytics, hierarchical system-level simulation, and system engineering. The applications of these technologies span fluid structural interaction, microfluidics/nanofluidics, thermal and energy management, additive manufacturing, biomedical, and others. He has coauthored 4 book chapters, and 80 journal and conference publications. He is also the co-inventor of 5 patents.

详细招聘信息，参照如下
PhD positions in Mechanical Engineering are available in Fall 2020 within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, https://yiwangusc.wixsite.com/yiwang).

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

Research efforts will include
•        Development of reduced order models for multiphysics engineering systems
•        Development of data mining, machine learning, and optimization algorithms
•        Development of topology 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)
•        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

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 micro/nanofluidics, energy management, additive manufacturing, and thermal-fluidics. 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”.