Publisher
source

University of Utah

Mechanical Engineering University of Utah in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Two fully-funded PhD positions are available, covering stipend and tuition. The positions are supported by research funding and offer opportunities for collaboration with national laboratories and academic partners.

Deadline

Aug 1, 2026

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Country

United States

University

University of Utah

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Aerospace Engineering
Manufacturing Engineering
Building Science
Computational Mechanics
Alloy Chemistry
Multiscale Modeling
High Performance Computing
Automotive Industry
Thermomechanical Processing
Energy Resources
Physics
Machine learning

About this position

Ph.D. Student Openings in Multiscale Materials Modeling — University of Utah

I have two fully-funded Ph.D. positions in the Mechanical Engineering Department at the University of Utah available starting Spring 2026. For more information about the lab and my research, please feel free to send me a message here.

Students will work on exciting projects related to exploring how structural materials (metals and alloys) behave under complex thermomechanical conditions using cutting-edge multiscale modeling techniques. These projects lie at the intersection of mechanics, materials science, and advanced computing (including high performance computing and machine learning) and have applications in the automotive, aerospace, energy, and manufacturing sectors. Students will also have opportunities to strongly collaborate with national laboratory and academic partners.

If you're interested in applying, please send your CV and a short description of your background/interests to [email protected] .

For more information regarding the University of Utah's ME Ph.D. program, please visit https://lnkd.in/gNbYm4w5 .

Please feel free to share with anyone you think might be interested!

Funding details

Two fully-funded PhD positions are available, covering stipend and tuition. The positions are supported by research funding and offer opportunities for collaboration with national laboratories and academic partners.

What's required

Applicants should have a strong background in mechanical engineering, materials science, or a closely related field. Experience or interest in computational modeling, high performance computing, and/or machine learning is preferred. Candidates should be motivated to work on interdisciplinary projects involving mechanics, materials, and advanced computing. No specific GPA, language test, or other requirements are mentioned.

How to apply

Send your CV and a short description of your background and interests to [email protected]. For more information about the PhD program, visit https://lnkd.in/gNbYm4w5. You may also message the announcer directly on LinkedIn.

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