We are seeking some outstanding candidates for several open Ph.D. and Postdocs. Special emphasis is placed on recruiting talented, self-motivated candidates with a solid background in chemical engineering, reaction engineering and machine learning.
The successful candidate(s) will work on applying density functional theory, molecular dynamics, microkinetic modeling, continuum transport modeling and machine learning techniques to facilitate the design of novel catalytic materials with tailored properties. The successful candidate(s) will develop data-driven multi-scale simulations (from atomic to continuum scale) for material properties predicting.
The candidate will work in the group of Assistant Professor Che at University of Massachusetts Lowell, in strong collaboration with other experimental groups. Previous experience in DFT/MD/MKM/CFD/machine learning/data analytics is a plus.
If you meet the above requirements and are interested in this position, please provide by email (fanglin_che@uml.edu) a detailed resume, a short personal statement explaining your scientific and research interests, and contact information for three referees in support of your application (as PDF files). Recruitment will remain open until the positions are filled.
