Qianying Cao
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Fully Funded PhD Positions in Mechanical Engineering, AI-Aided Material and Structure Co-Design, and Complex System Dynamics and Control Rochester Institute of Technology in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Rochester Institute of Technology

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About this position
Fully funded PhD positions are available in the Department of Mechanical Engineering at Rochester Institute of Technology (RIT) for Fall 2026 or Spring 2027.
The positions are being recruited by Qianying Cao, who states that they will soon join RIT as a Tenure-Track Assistant Professor. The research group will focus on two main directions: AI-aided material and structure co-design and analysis, and complex system dynamics and control.
Relevant academic backgrounds include mechanical engineering, mechatronics, applied mechanics, materials science, computational science, or related fields. The post also highlights preferred experience in machine learning, scientific computing, finite element analysis, CFD, dynamics, control, optimization, Python, MATLAB, C/C++, and experimental testing. Prior research experience and publications are considered positively.
This is a fully funded PhD opportunity; however, the post does not provide a stipend amount or detailed funding breakdown. Interested applicants should email a CV and transcripts to the contact email provided and review the research link for more information.
No formal deadline is stated in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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