PhD Positions in Materials, Corrosion, Fluid Dynamics, Mechanics, Robotics, Drones, Additive Manufacturing, and Micro Fluids
Explore cutting-edge research in ocean and mechanical engineering focused on materials, robotics, and fluid dynamics. Develop innovative engineering solutions with real-world impact in marine environments and manufacturing technologies.
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Project Description
Project Overview
The PhD positions offered involve research in diverse areas including Materials, Corrosion, Fluid Dynamics, Mechanics, Robotics, Drones, Additive Manufacturing, and Micro Fluids within ocean and mechanical engineering. The research will combine experimental and computational methods to explore novel engineering problems related to ocean environments and advanced manufacturing techniques.
What You Will Do
Students will engage in rigorous research activities involving design, modeling, analysis, and testing of engineering systems and materials. They will develop and validate innovative solutions to challenges in corrosion resistance, fluid dynamics in marine environments, robotics for ocean applications, additive manufacturing advances, and microfluidic systems.
Expected Outcomes
This research aims to advance knowledge in engineering fields critical to ocean technology and manufacturing sectors. Expected outcomes include peer-reviewed publications, development of new experimental setups, and technological innovations applicable to industry and environmental sustainability.
Why This Matters
Understanding and improving engineering processes in the marine environment and advanced manufacturing will foster sustainable resource use and innovation. The work addresses critical problems such as material durability in harsh environments, improved robotic systems for ocean monitoring, and manufacturing techniques with environmental benefits.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Prof. Lun-Ching Chang is an Associate Professor in the Department of Mathematical Sciences at Florida Atlantic University. His research spans mathematical and computational approaches applied to biological and engineering problems, with expertise reflected in his interdisciplinary collaborations. He has contributed to studies on microbiome analysis and computational models, establishing a strong foundation in applying quantitative methods to complex systems.