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Machine Learning Boosted Computational Heterogen ... (No replies)
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Dr. Fanglin Che research group is currently recruiting at least one phd candidate, who will be working on the thesis related to machine learning boosted computational heterogeneous 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 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.
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 past experience on machine learning, or DFT, or MKM will be a plus.
If you are interested, please send your CV, transcript, and personal statement, and TOEFL (or IEITS) to [email protected]
Please check the following link for more details regarding Dr. Fanglin Che and her group.
https://sites.uml.edu/fanglin_che/
https://scholar.google.com/citations?user=fiRHcIQAAAAJ&hl=en