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[交流] 德州理工大学 (Texas Tech University) 化工系诚招 全奖博士生

德州理工大学化工系 Dr. Qiugang (Jay) Lu 组诚邀全奖博士生,2024年秋或者2025年春入学。主要研究利用强化学习和深度学习实现电池和电池组的智能管理,包括电池的充放电设计,状态估计和寿命预测,以及如何处理电池组的cell-to-cell variation等。除了这些方向之外,博士生还有充足的机会探索其他相关的研究课题或者其他感兴趣的课题。实验室网址为

https://sites.google.com/view/scalab/home

欢迎对该领域感兴趣的同学申请。如有任何问题,可随时咨询Dr. Lu (请尽早联系和申请已确保可以申请学校的一些其他Scholarship),邮箱为: jay.lu@ttu.edu


关于德州理工化工系:
The Chemical Engineering graduate program of Texas Tech University is ranked 38th of public programs in Chemical Engineering, and the faculty scholarly productivity is ranked in the top 50 according to Academic Analytics. Texas Tech University is one of the 115 “Carnegie Tier One” universities with highest research activities in the U.S.

导师简介:

Dr. Qiugang (Jay) Lu is an assistant professor in the Department of Chemical Engineering at Texas Tech University. He was a postdoctoral research associate at the Department of Chemical & Biological Engineering, University of Wisconsin - Madison, WI, USA, from June 2019 to July 2020. He worked as a controls development engineer at General Motors of Canada Company, Toronto, Canada, from January 2018 to March 2019.  He received Ph.D. degree in Chemical & Biological Engineering, University of British Columbia, Canada, in 2018, M.Sc. degree and B.S. degree in Control Science & Engineering, Harbin Institute of Technology, China, in 2013 and 2011, respectively. Dr. Lu's research mainly focuses on developing advanced modeling, control, and monitoring strategies for complex dynamical processes with the integration of control theory, machine learning, and system identification. Dr. Lu has received a number of awards including the Canada Vanier Scholarship (2015) and NSF CAREER Award (2024).
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