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Amin Joodaky

1 year ago

Mechanics and engineering analysis Michigan State University in United States

Degree Level

PhD

Field of study

Machine Learning

Funding

not provided

Deadline

Dec 28, 2026

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Country

United States

University

Michigan State University

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Keywords

Machine Learning
Mechanical Engineering
Materials Science
Structural Engineering
Solid Mechanics
Environmental Sustainability
Packaging Engineering
Composites Engineering
Engineering Applications
Metamaterial
Noise And Vibration
Finite Element Analysis

About this position

Michigan State University’s School of Packaging is recruiting highly motivated PhD students for research in Packaging Dynamics. The program is recognized as the top in its field and offers access to advanced laboratories and industry collaborations. Research topics include multi-axis vibration analysis, composite structures, packaging sustainability, predictive response modeling, and more.

Applicants should have a strong background in mechanics and engineering analysis, ideally with a Master’s degree in Solid Mechanics, Applied Design, Structural Engineering, or related areas. Required skills include solid mechanics, dynamics, CAD (SolidWorks), finite element modeling (ANSYS, Abaqus), vibrations, introductory machine learning, and MATLAB coding. Preferred skills include experience with composite structures, metamaterials, Python coding, machine learning applications in engineering and packaging, and an interest in interdisciplinary applications such as materials, food, transportation, and sustainability. The start date is Fall 2026.

Interested candidates should email [email protected] with their CV and a brief statement of research interests.

What's required

Applicants should ideally hold a Master’s degree in Solid Mechanics, Applied Design, Structural Engineering, or a closely related field. Required skills include solid mechanics and dynamics, proficiency with CAD software (e.g., SolidWorks), experience with finite element modeling (ANSYS, Abaqus), understanding of vibrations and dynamics fundamentals, introductory exposure to machine learning, and coding skills (MATLAB). Preferred backgrounds include experience with composite structures, metamaterials, coding in Python, machine learning applications in engineering and packaging, and a strong interest in interdisciplinary applications such as materials, food, transportation, and sustainability.

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Professors

Assistant Professor

University Name
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United States

Research Interests

Solid Mechanics

Structural Engineering

Mechanical Engineering

Machine Learning

Materials Science