PhD Position in Physics-Informed AI for Infrastructure Materials, Digital Twins, and Climate Resilience University of Mississippi in United States

My research group at the University of Mississippi is looking for a highly motivated PhD student to join a project at the intersection of physics-informed AI, civil engineering, materials science, digital twins, and climate resilience.

The research theme focuses on developing next-generation, data-driven and physics-guided frameworks for infrastructure materials, especially asphalt and cementitious systems. The goal is to improve the performance, durability, and resilience of civil infrastructure systems using uncertainty-aware prediction, machine learning, and advanced analytics.

Ideal candidates should have a strong background in Civil Engineering, Materials, or a related field. Experience with data analytics or machine learning is preferred, though not required. Python programming skills are also desirable.

This is a research-oriented PhD opening for students interested in smart, resilient, and sustainable infrastructure. The post does not mention funding details or a formal deadline. Interested applicants are encouraged to reach out directly and share a CV.