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Micaela Mercuri

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PhD in Civil Engineering on Geomechanics, Computational Mechanics, and AI at University of New Mexico University of New Mexico in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The position is expected to include PhD funding, subject to admission and university requirements.

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Country

United States

University

University of New Mexico

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Materials Science
Civil Engineering
Structural Engineering
Geotechnical Engineering
Earth Science
Computational Mechanics
Geomechanics
Fracture Mechanics
Damage Mechanics
Applied Mechanics
ML

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About this position

Assistant Professor Micaela Mercuri at the University of New Mexico is seeking a motivated PhD student for the Gerald May Department of Civil, Construction and Environmental Engineering in Albuquerque, New Mexico, USA.

The project sits at the intersection of geomechanics, computational mechanics, fracture and damage mechanics, and data-driven/AI approaches, with applications to geomaterials, infrastructure, and natural hazards. This is a strong fit for students interested in Civil Engineering, Geotechnical Engineering, Structural Engineering, Mechanical Engineering, or Engineering Mechanics.

Preferred experience includes numerical modeling, programming, laboratory testing, or machine learning, though these are not required. The post indicates that the position is expected to include PhD funding, subject to admission and university requirements.

To apply, interested candidates should email [email protected] with a CV, academic transcripts, and a short description of research interests and relevant experience.

Funding details

The position is expected to include PhD funding, subject to admission and university requirements.

What's required

Applicants should have a background in Civil Engineering, Geotechnical Engineering, Structural Engineering, Mechanical Engineering, Engineering Mechanics, or a related field. Experience with numerical modeling, programming, laboratory testing, or machine learning is welcome but not required. Admission and university requirements must be met.

How to apply

Interested candidates should contact Micaela Mercuri by email and send a CV, academic transcripts, and a brief description of research interests and relevant experience.

More information can be found here

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