Publisher
source

Michigan Technological University

Fully Funded PhD Opportunity in Industrial Digital Twins, Robotics, and Remote Sensing Michigan Technological University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opportunity with a Teaching Assistant position starting in Fall 2026.

Deadline

Dec 28, 2026

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Country

United States

University

Michigan Technological University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Information Technology
Remote Sensing
Manufacturing Engineering
Python Programming
Digital Twin Technology
Monte Carlo Simulation
3d Modeling
Robotics

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About this position

Fully funded PhD opportunity at Michigan Technological University in the Robotics and Remote Sensing Lab (RRSL) within the Applied Computing Department and the Department of Manufacturing and Mechanical Engineering Technology.

The project focuses on industrial digital twins, with research interests spanning robotics, remote sensing, physics-based modeling, simulation, Python programming, sensor integration, IoT systems, and CAD/3D modeling. The student will work on modeling the behavior of physical systems and testing what-if scenarios.

This opening is advertised as a Teaching Assistant position starting in Fall 2026. Preference is given to candidates with experience in digital twins and current MTU students.

Interested applicants should complete the linked form. For questions, contact [email protected]. Applications are reviewed on a rolling basis until the position is filled.

Supervisors/lab leads mentioned on the lab page include Dr. Ashraf Saleem and Dr. Amna Mazen, both Assistant Professors at Michigan Technological University.

Funding details

Fully funded PhD opportunity with a Teaching Assistant position starting in Fall 2026.

What's required

Applicants should have experience or strong interest in digital twins, physics-based modeling, simulation, Python programming, sensor integration, IoT systems, and CAD/3D modeling. The student should be able to model the behavior of physical systems and create and test what-if scenarios. Preference will be given to candidates with experience in digital twins and current Michigan Technological University students.

How to apply

Fill out the linked application form and submit your interest. Direct inquiries to [email protected]. Applications are reviewed on a rolling basis until the position is filled.

More information can be found here

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