Dr. Bin Mu, an Assistant Professor for the School for Matter, Transport and Energy of the Ira A. Fulton Schools of Engineering has a research opening for FURI, MORE, Honors Research students, and volunteer students regarding Design and prediction of materials’ structure-property relationships by machine learning/data mining.
The project is to develop a machine learning /data mining code for developing structure-property relationships of porous materials, which can be used in gas separation, CO2 capture, and water treatment applications.
Sub-Themes:
- porous material
- structural design and modeling
- machine learning/data mining
Student qualifications/requirements:
- Resume
- transcripts
- Strong programming skills and communication skills
Semester(s) or start/end date of position: Start immediately and may last for more than one year
Number of hours per week: 10
Stipend amount/hourly wage/volunteer position: Volunteer position
How to apply:
Please contact Dr. Bin Mu by email: bmu@asu.edu
