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Engineering | Undergraduate Research

Design and prediction of materials’ structure-property relationships by machine learning/data mining

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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

Skills

Posted on

May 3, 2018