Funded PhD in Topology Optimization, Machine Learning, Quantum Computing, and Computational Mechanics University of North Carolina at Charlotte in United States

A funded PhD research opportunity is available at the University of North Carolina at Charlotte in the Computational Mechanics and Intelligent Systems Lab.

The project sits at the intersection of topology optimization, machine learning, quantum computing, and computational mechanics. The research aims to develop next-generation methods for engineering design, simulation, and decision-making, with applications in AI, quantum computing, and computational engineering.

Relevant research areas include topology optimization, machine learning, artificial intelligence, quantum computing, computational mechanics, scientific machine learning, finite element analysis, engineering design and simulation, and intelligent decision-making systems.

Applicants with backgrounds in Mechanical Engineering, Computational Mechanics, Machine Learning, Artificial Intelligence, Quantum Computing, Computational Engineering, or related areas are encouraged to apply. Strong research, programming, and analytical skills are highly valued.

The selected student will join a funded research project in the Computational Mechanics and Intelligent Systems Lab. Interested applicants should send their CV to [email protected].