PhD and post-doc positions for Numerical Modeling and Machine Learning for Multiphysics Engineering# ChemEng - 化学工程
m*g
1 楼
lulu的帖子就很好，
p*8
2 楼
PhD and post-doc positions in Mechanical Engineering are immediately
available in the research group of Dr. Yi Wang at the University of South
Carolina-USC (Columbia/Main campus, https://www.sc.edu/study/colleges_
schools/engineering_and_computing/faculty-staff/yi_wang.php). 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) [1], and the College of Engineering and
Computing is ranked No. 1 in the State of South Carolina for faculty
research productivity [2].
[1] http://www.me.sc.edu/about/
[2] https://sc.edu/study/colleges_schools/engineering_and_computing/about/
employment/
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,
aerodynamics & aerospace. 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.
We are looking for highly motivated applicants in applied math, mechanical
engineering, aerospace engineering, electrical engineering, or chemical
engineering with strong background and experience in numerical modeling and
high-performance computing (CFD and FEM), machine learning, data mining, and
system control in aerospace, energy and additive manufacturing systems,
microfluidic and nanofluidic systems, etc. To apply, please send your CV/
Resume, publications, etc. in a single PDF to Dr. Wang ([email protected])
with the email subject “Position Application”.
• Ph.D. applicants: please also send your transcripts, and GRE
scores
• Post-doc applications: please also indicate your current visa
status (if available)
Detailed description for the position is:
Numerical Modeling and Machine Learning for Multiphysics Engineering Systems
Design
We will investigate and develop numerical modeling and machine learning
methodology and frameworks for predictive analysis and design of
multiphysics systems for a variety of engineering applications, which
include but not limited to microfluidics & nanofluidics, photonic integrated
circuits (PIC), energy management, and additive manufacturing.
Research efforts will include
• Development of data-driven and physics-based models for
multiphysics engineering systems
• Development of data mining and machine learning algorithms, in
particular, data reduction/compression, supervised and unsupervised learning
, and deep neural network (DNN)
• Uncertainty quantification and design optimization
The required qualifications include:
• Strong background in numerical algebra, optimization, and control
theory required
• Experience in developing in-house numerical models, codes, and
computation algorithms for various linear and nonlinear dynamical systems.
The desired qualifications include:
• Strong hands-on experience with parallel computing and
optimization for numerical models, data analytics, and machine learning
within Matlab, C/C++, Python, or other object-oriented programming languages
• Numerical modeling experience in one (or several) of the
following systems: microfluidics & nanofluidics, thermal-fluidic systems,
photonic integrated circuit, energy and battery management.
• Experience with GPU-based computing and/or heterogeneous
computing for numerical computation and deep-learning is a significant plus
• Strong interest and self-motivation to perform cutting-edge
research and conquer challenges in real-world engineering and to publish
high-impact papers
available in the research group of Dr. Yi Wang at the University of South
Carolina-USC (Columbia/Main campus, https://www.sc.edu/study/colleges_
schools/engineering_and_computing/faculty-staff/yi_wang.php). 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) [1], and the College of Engineering and
Computing is ranked No. 1 in the State of South Carolina for faculty
research productivity [2].
[1] http://www.me.sc.edu/about/
[2] https://sc.edu/study/colleges_schools/engineering_and_computing/about/
employment/
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,
aerodynamics & aerospace. 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.
We are looking for highly motivated applicants in applied math, mechanical
engineering, aerospace engineering, electrical engineering, or chemical
engineering with strong background and experience in numerical modeling and
high-performance computing (CFD and FEM), machine learning, data mining, and
system control in aerospace, energy and additive manufacturing systems,
microfluidic and nanofluidic systems, etc. To apply, please send your CV/
Resume, publications, etc. in a single PDF to Dr. Wang ([email protected])
with the email subject “Position Application”.
• Ph.D. applicants: please also send your transcripts, and GRE
scores
• Post-doc applications: please also indicate your current visa
status (if available)
Detailed description for the position is:
Numerical Modeling and Machine Learning for Multiphysics Engineering Systems
Design
We will investigate and develop numerical modeling and machine learning
methodology and frameworks for predictive analysis and design of
multiphysics systems for a variety of engineering applications, which
include but not limited to microfluidics & nanofluidics, photonic integrated
circuits (PIC), energy management, and additive manufacturing.
Research efforts will include
• Development of data-driven and physics-based models for
multiphysics engineering systems
• Development of data mining and machine learning algorithms, in
particular, data reduction/compression, supervised and unsupervised learning
, and deep neural network (DNN)
• Uncertainty quantification and design optimization
The required qualifications include:
• Strong background in numerical algebra, optimization, and control
theory required
• Experience in developing in-house numerical models, codes, and
computation algorithms for various linear and nonlinear dynamical systems.
The desired qualifications include:
• Strong hands-on experience with parallel computing and
optimization for numerical models, data analytics, and machine learning
within Matlab, C/C++, Python, or other object-oriented programming languages
• Numerical modeling experience in one (or several) of the
following systems: microfluidics & nanofluidics, thermal-fluidic systems,
photonic integrated circuit, energy and battery management.
• Experience with GPU-based computing and/or heterogeneous
computing for numerical computation and deep-learning is a significant plus
• Strong interest and self-motivation to perform cutting-edge
research and conquer challenges in real-world engineering and to publish
high-impact papers
D*o
3 楼
RightTurn：挖坟？封你十四天。
R*n
4 楼
it 会在每个好帖子都拉一坨。
最后就没有好帖子了
最后就没有好帖子了
R*n
5 楼
刚说了， 马上就来了。 比我还快
m*g
6 楼
你XX的，不能说点健康向上的吗，我发个主帖容易吗，
【在 D*******o 的大作中提到】
: RightTurn：挖坟？封你十四天。
【在 D*******o 的大作中提到】
: RightTurn：挖坟？封你十四天。
R*n
7 楼
楼主不要再糟蹋好帖子了
F*r
8 楼
愿望很好
C*H
9 楼
嗯，问渠哪得清如许，为有源头活水来
等麻将妹上位了拿出麻将版盛年时的励治，多搞活动多发包子吧
【在 m*****g 的大作中提到】
: lulu的帖子就很好，
等麻将妹上位了拿出麻将版盛年时的励治，多搞活动多发包子吧
【在 m*****g 的大作中提到】
: lulu的帖子就很好，
m*g
10 楼
cc也不多资助我点包子，我这还没开始竞选拉票，那边就结束了，
都是你们舍不得捐包子害的，
【在 C*****H 的大作中提到】
: 嗯，问渠哪得清如许，为有源头活水来
: 等麻将妹上位了拿出麻将版盛年时的励治，多搞活动多发包子吧
都是你们舍不得捐包子害的，
【在 C*****H 的大作中提到】
: 嗯，问渠哪得清如许，为有源头活水来
: 等麻将妹上位了拿出麻将版盛年时的励治，多搞活动多发包子吧
C*H
11 楼
我的这些个包子，大半还不是当年混麻将版的时候你发给我的？
跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
【在 m*****g 的大作中提到】
: cc也不多资助我点包子，我这还没开始竞选拉票，那边就结束了，
: 都是你们舍不得捐包子害的，
跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
【在 m*****g 的大作中提到】
: cc也不多资助我点包子，我这还没开始竞选拉票，那边就结束了，
: 都是你们舍不得捐包子害的，
m*g
12 楼
根据我敛财大原则，一毛也要拔，赶快贡献，哈哈
【在 C*****H 的大作中提到】
: 我的这些个包子，大半还不是当年混麻将版的时候你发给我的？
: 跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
【在 C*****H 的大作中提到】
: 我的这些个包子，大半还不是当年混麻将版的时候你发给我的？
: 跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
C*H
13 楼
小的还处在原始积累期，基本上一毛不拔，LOL
【在 m*****g 的大作中提到】
: 根据我敛财大原则，一毛也要拔，赶快贡献，哈哈
【在 m*****g 的大作中提到】
: 根据我敛财大原则，一毛也要拔，赶快贡献，哈哈
m*g
14 楼
刚说完，发现你居然这么多，把我投资在外的伪币算上，也才不到你一半，
还是以前吃大户爽啊，哈哈
【在 C*****H 的大作中提到】
: 我的这些个包子，大半还不是当年混麻将版的时候你发给我的？
: 跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
还是以前吃大户爽啊，哈哈
【在 C*****H 的大作中提到】
: 我的这些个包子，大半还不是当年混麻将版的时候你发给我的？
: 跟真正的富豪麻将妹比起来，我这就是九牛一毛，贻笑大方。。。。。
C*H
15 楼
往昔大户今何在，挥金如土久未闻
【在 m*****g 的大作中提到】
: 刚说完，发现你居然这么多，把我投资在外的伪币算上，也才不到你一半，
: 还是以前吃大户爽啊，哈哈
【在 m*****g 的大作中提到】
: 刚说完，发现你居然这么多，把我投资在外的伪币算上，也才不到你一半，
: 还是以前吃大户爽啊，哈哈
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