Publisher
source

Oakland University

PhD Positions in Resilient and Intelligent Manufacturing, Robotics, and Digital Twins Oakland University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 31, 2027

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Country

United States

University

Oakland University

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Keywords

Computer Science
Mechanical Engineering
Industrial Engineering
Uncertainty Analysis
Digital Twin Technology
Robotics
Mechatronics

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About this position

Oakland University in Michigan is recruiting one or more PhD students for a research group working on resilient and intelligent manufacturing. The project areas include robotic automation, OLP, virtual commissioning, AI-enhanced simulations, uncertainty quantification, and broader manufacturing simulations and digital twins.

This opportunity is a strong fit for students with a background in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or Mechatronics Engineering. Prior manufacturing experience is preferred, and candidates already residing in the U.S. are especially encouraged because of the start timeline and logistical considerations.

The position is planned to begin in Winter 2027. Interested applicants should contact Ali A. Malik directly at [email protected].

Funding details

Available

What's required

Applicants should have a bachelor's or master's degree in Industrial, Manufacturing, Mechanical, or Mechatronics Engineering. Manufacturing experience is preferred. Candidates residing in the United States are preferred due to logistical considerations and the Winter 2027 start timeline.

How to apply

Interested candidates should contact Ali A. Malik directly by email. Include your background and relevant experience when reaching out.

More information can be found here

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