Dr. Fanglin Che research group is currently recruiting multiple Ph.D. candidates, who will be working on the thesis related to machine learning boosted computational heterogeneous catalysis, such as electrocatalysis, plasma catalysis and field-enhanced catalysis.
Dr. Fanglin Che research group is in the department of chemical engineering at University of Massachusetts Lowell.
The candidate(s) will apply deep learning assisted density functional theory, and/or microkinetic modeling, and computational fluid dynamic simulations to facilitate the design of novel catalytic/electrocatalytic materials with tailored properties. The successful candidate(s) will develop data-driven multi-scale simulations (from atomic to continuum scale) for material properties predicting, such as plasma catalysis, electrocatalysis and field-enhanced catalysis. The group webpage is: https://sites.uml.edu/fanglin_che/
Ph.D. Recruitment will be with rolling base。If you are interested, please send your CV, transcripts, TOEFL (or IEITS) to: 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.
For more information and to apply visit https://sites.uml.edu/fanglin_che/resources/