Ph.D. and Postdoc Openings in Computation, Machine Learning, and Control
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Ph.D. and Postdoc Openings in Computation, Machine Learning, and Control
美国南卡罗莱纳大学机械工程系Prof. Yi Wang教授课题组诚招博士后、全奖博士: 计算，机器学习及控制
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 (1point3acres.com)
课题组网页: research.cec.sc.edu
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: 多物理系统降阶模型，机器学习及设计优化 (reduced order modeling, machine learning, and design optimization for multiphysics engineering systems)
入学时间: Immediately available or 2023秋季
申请要求(至少满足一项者优先):
1. 具有较强控制理论, 线性代数, 计算数学及力学背景
2. 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）
3. 可熟练使用matlab，c / c ++，python或其他面向对象的编程语言
4. 具有科研热情并且自我上进的进行前沿研究，解决工程实际问题并发表高水平文章
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：1point3acres.com
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) (me.sc.edu), 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 an institutional PI on 63 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 over 130 journal and conference publications. He is also the co-inventor of 5 patents.
详细招聘信息，参照如下
Several postdoc positions and PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are immediately available (or Fall 2023) within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, yiwangusc.wixsite.com).
1. Reduced Order Modeling, Machine Learning, and Design Optimization for Multiphysics Engineering Systems
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
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)
; 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. 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 (1point3acres.com) with the email subject “Position Application”.
美国南卡罗莱纳大学机械工程系Prof. Yi Wang教授课题组诚招博士后、全奖博士: 计算，机器学习及控制
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 (1point3acres.com)
课题组网页: research.cec.sc.edu
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: 多物理系统降阶模型，机器学习及设计优化 (reduced order modeling, machine learning, and design optimization for multiphysics engineering systems)
入学时间: Immediately available or 2023秋季
申请要求(至少满足一项者优先):
1. 具有较强控制理论, 线性代数, 计算数学及力学背景
2. 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）
3. 可熟练使用matlab，c / c ++，python或其他面向对象的编程语言
4. 具有科研热情并且自我上进的进行前沿研究，解决工程实际问题并发表高水平文章
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：1point3acres.com
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) (me.sc.edu), 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 an institutional PI on 63 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 over 130 journal and conference publications. He is also the co-inventor of 5 patents.
详细招聘信息，参照如下
Several postdoc positions and PhD positions (with full graduate research assistantship-GRA) in Mechanical Engineering are immediately available (or Fall 2023) within the research group of Dr. Yi Wang at the University of South Carolina-USC (Columbia/Main campus, yiwangusc.wixsite.com).
1. Reduced Order Modeling, Machine Learning, and Design Optimization for Multiphysics Engineering Systems
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
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)
; 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. 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 (1point3acres.com) with the email subject “Position Application”.
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