Two Ph.D. positions in phase-field modeling or machine learning at the Arizona State University, Tempe

There are 2 openings for Ph.D. students in the School for Engineering of Matter, Transport & Energy at the Arizona State University. ASU has been ranked (#1) as the most innovative school by U.S. News for making rapid improvements in terms of curriculum, faculty, students, campus life, technology, and facilities. The Materials Science and Engineering program at ASU is one of the most respected programs in the United States (https://semte.engineering.asu.edu/materials-science-engineering/).

The Ph.D. research project will focus on developing a phase-field model for predicting and controlling the morphological evolution of interfaces during thin film deposition. Applicant should have his/her master's degree in materials, mechanical engineering or in a related field with a background in computational materials science. Desired skills include familiarity with numerical techniques, phase-field modeling, machine learning/control theory, computer programming, and experience with Paraview.

Please refer to the 4D ICE webpage for details: http://www.kumarankitresearch.com/

Applications must be submitted electronically to PI, Dr. Kumar Ankit at kumar.ankit[at]tamu.edu. Candidates should submit a letter of interest and curriculum vitae, including GRE score, a list of publications, research interests, and contact information of three references. International students should provide TOEFL scores. 

Prospective Ph.D. students should apply for Ph.D. graduate admission to the Materials Science and Engineering program at ASU before contacting us. Please see instructions: https://semte.engineering.asu.edu/materials-science-graduate/. Once your application is successful, we will proceed with onboarding.