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 Fulton Undergraduate Research Initiative (FURI), Master’s Opportunity for Research in Engineering (MORE), Honors Research students and volunteer students regarding the 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.
- porous material
- structural design and modeling
- machine learning/data mining
- 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 Bin Mu by email at email@example.com