招生信息|美国康涅狄格大学招收2022年全奖博士生

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2022-01-18

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康涅迪格大学机械系徐弘毅组招收全奖博士生（2022夏，2022秋，2023春）

Prof. Hongyi Xu, the PI of the

Computational Design for

Manufacturing Laboratory (CoDeML), is recruiting PhD students will full financial support. The students will work on one of the below topics:

• Deep learning-assisted predictive modeling and design optimization of microstructures/structures

• Integrated design and uncertainty quantification of manufacturing process, materials, and structure.

The students can choose to start in Summer 2022, Fall 2022, or Spring 2023.

If you are interested in artificial intelligence, design science, and advanced manufacturing, please contact Prof. Xu at

hongyi.3.xu@uconn.edu.

Please also check the website of CoDeML here:

https://hongyixu.lab.uconn.edu/.

Qualifications:

• A Bachelor’s degree in mechanical engineering, civil engineering, material science, computer science, or closely related field.

• A Master’s degree with project experiences and publications is a plus.

• Programming skills in Python and/or MATLAB.

• Experience in conducting Finite Element Analysis is a plus.

• Knowledge of statistical analysis and machine learning is a plus.

• Self-motivated, strong interests in coding and quantitative methods.

About Prof. Hongyi Xu:

Dr. Hongyi Xu joined the University of Connecticut in February 2019 as Assistant Professor in the Department of Mechanical Engineering. His research interests include design of mixed stochasticity systems, machine learning-driven design of lattice structures for Additive Manufacturing, stochastic microstructure modeling and design for energy storage systems, and uncertainty quantification and propagation. Prior to joining UConn, Dr. Xu worked in Ford Research and Advanced Engineering (2014-2019). He led and participated in a variety of research projects, including lightweight structure design, Integrated Computational Materials Engineering (ICME) of carbon fiber composites, Lithium-ion battery impact safety, and structure design for Additive Manufacturing. Dr. Xu has received the NSF CAREER Award and multiple Best Paper/Editor’s Choice paper awards from the ASME and the Tire Society by Dec 2021.