Yuqiu Ye
3 months ago
Master's Graduate Research Assistantship in Advanced Air Mobility, Optimization, and Machine Learning at Youngstown State University Youngstown State University in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United States
University
Youngstown State University

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About this position
Youngstown State University is offering a Graduate Research Assistantship for one Master's student interested in pursuing an MS in Civil Engineering or MS in Industrial and Systems Engineering. The research group, led by Dr. Yuqiu Ye and Dr. Zefeng Lyu, focuses on cutting-edge topics such as Advanced Air Mobility, Unmanned Aerial Vehicles, Optimization, Control, Autonomous Systems, Intelligent Perception, Machine Learning, and Advanced Manufacturing. This opportunity is ideal for highly motivated students with backgrounds in civil engineering, industrial engineering, mechanical engineering, computer science, electrical engineering, or related fields.
The assistantship provides two years of guaranteed support, which includes fully covered tuition and a stipend. The preferred start date is Fall 2026, and the position is based at Youngstown State University in Ohio, United States. The research environment is collaborative and interdisciplinary, offering students the chance to work on innovative projects at the intersection of engineering and technology.
Applicants are encouraged to contact Dr. Zefeng Lyu ([email protected]) or Dr. Yuqiu Ye ([email protected]) for more information or to express their interest in the position. This is an excellent opportunity for students passionate about advanced mobility systems, intelligent systems, and manufacturing technologies to further their academic and research careers in a supportive and well-funded environment.
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.
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