Publisher
source

Bowling Green State University

Master’s Research Opportunity in Thermal and Thermofluid Modeling at Bowling Green State University Bowling Green State University in United States

Degree Level

Master's

Field of study

Computer Science

Funding

The opportunity is described as an industry-sponsored research program. No stipend, tuition, or other funding details are provided in the post.

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Country

United States

University

Bowling Green State University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Heat Transfer
Fluid Mechanics
Python Programming
System Identification

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About this position

Bowling Green State University (BGSU) is seeking motivated Master’s students for a research opportunity in Technology Management, with preferred backgrounds in Mechanical Engineering, Chemical Engineering, or closely related fields.

The research is centered on thermal and thermofluid modeling of industrial glass-melting processes. Topics include heat transfer, combustion, fluid dynamics, temperature-field analysis, and thermal process modeling, with supporting work in dynamic modeling, system identification, process control, and AI-enabled optimization.

This is an applied research opportunity involving real industrial process data and collaboration with researchers and industry partners. Students with experience in Python, ANSYS, and/or computational fluid dynamics (CFD) tools are especially encouraged to apply.

Interested students should email Dr. Mohammed Abouheaf and cc Dr. Owais Khan, attaching a brief summary of their background and research interests, plus a CV/resume and academic transcript.

Funding details

The opportunity is described as an industry-sponsored research program. No stipend, tuition, or other funding details are provided in the post.

What's required

Applicants should be motivated Master’s students in Technology Management at Bowling Green State University with a background in Mechanical Engineering, Chemical Engineering, or a closely related field. Experience or strong interest in thermal and thermofluid modeling, heat transfer, combustion, fluid dynamics, temperature-field analysis, thermal process modeling, dynamic modeling, system identification, process control, and AI-enabled optimization is preferred. Python, ANSYS, and/or CFD experience is desirable. Students should be prepared to work with real industrial process data and collaborate with researchers and industry partners.

How to apply

Email Dr. Mohammed Abouheaf and cc Dr. Owais Khan. Include a brief description of your background and research interests, along with your CV/resume and academic transcript.

More information can be found here

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