博士招聘:Chemical Engineering at University of Massachusetts Lowell
车芳琳老师课题组主要研究机器辅助计算催化以及材料科学方面的多尺度理论模拟,在多尺度范围内(从原子到反应器尺度)研究新型能源的催化剂性质,反应机理,动力学等。研究的相关课题有:电催化, 等离子催化,及电场催化,resonance catalysis, 热催化的微观动力学模拟,以及多相催化反应器中的流体动力学模拟。课题组主页:http://sites.uml.edu/fanglin_che/
目前长期招聘博士 with rolling base。有兴趣的可以随时将个人简历,成绩单,TOEFL (or IEITS)发送至:Fanglin_che@uml.edu
The successful candidate will be:
(1) Chemical Engineering or related Major in B.S. and/or M.S.
(2) GPA is over 3.2
(3) Have strong interests in Machine Learning and Computational Catalysis
(4) If the candidate has experience on machine learning, or density functional theory, or microkinetic model, or computational fluid dynamics will be a plus.
博士后招聘:Chemical Engineering at University of Massachusetts Lowell
车芳琳老师课题组主要研究机器辅助计算催化以及材料科学方面的多尺度理论模拟,在多尺度范围内(从原子到反应器尺度)研究新型能源的催化剂性质,反应机理,动力学等。研究的相关课题有:电催化,等离子催化,及电场催化,resonance catalysis, 热催化的微观动力学模拟,以及多相催化反应器中的流体动力学模拟。课题组主页:http://sites.uml.edu/fanglin_che/
目前招聘一名博士后who will be working on the project related to machine learning algorithm development for computational catalysis。The candidate(s) will develop machine learning models combining with multi-scale and multi-physics modeling (from atomic to continuum scale) to predict the performance of catalytic reactions. 有兴趣的请将CV, personal research statement, and recommendation referee list, 发送至:Fanglin_che@uml.edu
The successful candidate will be:
(1) Chemical Engineering or related Major in Ph.D.
(2) Have experience and publications in Machine Learning model development for chemical science.
(3) If the candidate has experience on computational fluid dynamics will be a plus.
车老师本科毕业于大连理工大学(2008-2012),博士毕业于华盛顿州立大学(2012-2016)。分别在加拿大多伦多Sargent课题组(2017-2018)和美国特拉华大学Vlachos课题组(2018-2019)从事博士后研究。至今以通讯作者,一作(含共一)在Nat. Catal. (1), Nat. Chem. (1), Nat. Comm. (3), Angew. Chem. Int. Ed.(1), JACS Au (1), ACS Catal.(3), J. Catal.(1), ACS Energy Lett.(1), Adv. Mater(1), Appl. Catal. B (3), ChemCatChem (1) 等高水平期刊发表文章若干篇。Googl Scholar:https://scholar.google.com/citations?hl=zh-CN&user=fiRHcIQAAAAJ
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