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Ph.D. student Positions: Multiphysics, Machine Learning, and Advanced Material Modeling

ABG-117754 Sujet de Thèse
10/11/2023 Autre financement public
Université du Michigan
dearborn - Etats-Unis d'Amérique
Ph.D. student Positions: Multiphysics, Machine Learning, and Advanced Material Modeling
  • Sciences de l’ingénieur
  • Sciences de l’ingénieur
Biomaterials, fatigue, 3D printing, Recycling, Multiphysics Modeling, Machine Learning

Description du sujet

Position Description

 

The Sustainability Research Group at the University of Michigan-Dearborn invites applications for multiple postdoc research fellow and Ph.D. positions. The postdoc/Ph.D. student will work with a multi-disciplinary research team within the College of Engineering and Computer Science on projects related to digital engineering in additive manufacturing.

 

For the Ph.D. student positions on multiphysics, machine learning, and advanced Material Modeling (FEM), we offer a full financial assistantship. The start date is August 25, 2024. The application deadline is February 01, 2024. The students will be funded by the National Science Foundation and will be actively involved in an extensive experimental campaign.

 

Qualifications

Applicants must have earned a Master's degree in Mechanical Engineering or a closely related discipline by July 30, 2024. Excellent mathematics, and coding skills are essential for consideration. The following are the specific requirements:

  • Minimum cumulative GPA of 3.2 (B.S. degree) or 3.5 (master's degree) on a 4-point scale.
  • Foreign applicants must provide TOEFL (minimum score of 84 on IBT) or IELTS (minimum score of 6.5) for English language proficiency.
  • Three letters of recommendation, with at least one from former faculty.
  • Academic statement of purpose indicating intended fields of research.
  • Curriculum vitae or resume, and personal statement detailing background, life experiences, and motivation to pursue a Ph.D. degree at UM-Dearborn.

 

Responsibilities

The Ph.D. student will focus on polymer materials, environmental aging, multi-physics modeling, machine learning, and mechanics modeling. The project is funded by the National Science Foundation, and the selected Ph.D. student will be actively involved in an extensive experimental campaign. Additionally, the student will be responsible for developing a cutting-edge numerical tool that combines multiphysics, machine learning, and advanced Finite Element Modeling (FEM). More precisely, the research will focus on studying the degradation of polymers, and recycling of thermoplastics and thermosets. The purpose of the study is to design modeling tools to guide engineers in recycling polymers by design.

Prise de fonction :

26/08/2024

Nature du financement

Autre financement public

Précisions sur le financement

National Science Foundation

Présentation établissement et labo d'accueil

Université du Michigan

The University of Michigan–Dearborn is a public university in Dearborn, Michigan. It is one of the two regional universities operating under the policies of the University of Michigan Board of Regents, the other being the University of Michigan–Flint.

This Ph.D. program of the Rackham Graduate School of the University of Michigan-Ann Arbor is located, administered, and offered by UM-Dearborn. The program observes the standards for admissions, registration, degree requirements, awarding of degrees, and other administrative policies and regulations established by the Executive Board of the Rackham Graduate School. 

Profil du candidat

Applicants must have earned a Master's degree in Mechanical Engineering or a closely related discipline by July 30, 2024. Excellent mathematics, and coding skills are essential for consideration. The following are the specific requirements:

  • Minimum cumulative GPA of 3.2 (B.S. degree) or 3.5 (master's degree) on a 4-point scale.
  • Foreign applicants must provide TOEFL (minimum score of 84 on IBT) or IELTS (minimum score of 6.5) for English language proficiency.
  • Three letters of recommendation, with at least one from former faculty.
  • Academic statement of purpose indicating intended fields of research.
  • Curriculum vitae or resume, and personal statement detailing background, life experiences, and motivation to pursue a Ph.D. degree at UM-Dearborn.
31/01/2024
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