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Fully funded PhD positions are available in Dr. Qizhi He’s Computational Mechanics Group at the Department of Civil, Environmental, and Geo- Engineering of the University of Minnesota-Twin Cities (UMN). The expected start date is Fall 2022 (or Spring 2022). The successful candidate will work with Dr. He on the research areas that involve Multiscale Materials Modeling, Meshfree Methods, Mechanistic Machine Learning, Data-Driven Computing, and Structural Optimization. Primary research topics include but are not limited to:
- Machine learning / deep learning for computational mechanics
- Meshfree methods for multiscale modeling, optimization, and design of advanced materials
- Scientific machine learning and reduced order modeling for large scale civil, energy and environmental systems
Qualifications
The desired candidate should have:
- B.S. or M.S. in civil/mechanical/aerospace engineering, applied mathematics, physics, material science, or a related discipline. A master’s degree with project experience is a plus.
- Strong background and interest in computational mechanics, solid mechanics, and numerical modeling & simulation.
- Experience with the finite element analysis of nonlinear solid materials, meshfree method, topology optimization, and machine learning would be a strong plus.
- Willingness and motivation to work in highly interdisciplinary field.
- Programming experience (Fortran, C++, Python, MATLAB, etc.) is highly desired.
How to apply
Interested candidates are invited to email Dr. He (qzhe@umn.edu) with a cover letter (no more than 1 page) briefly describing your research experience and interests, a latest CV, and the contact information for 3 references. Unofficial transcripts and English test scores (foreign applicants) are also encouraged to provide in CV or as email attachments in PDF format. This and any other specific inquiries should be addressed with “PhD Application 2022 – [Last Name, First Name] – [Affiliated Institution]” in the subject line.
Deadline: Open until filled. Please note that the deadline for graduate student application for the Fall 2022 semester is December 3, 2021. In your application, please mention my name as faculty of interest.
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