Fully Funded PhD and Postdoctoral Position in Civil Engineering, LLMs/AI Agents, and Digital Twins at the University of Miami University of Miami in United States

Dr. Minghui Cheng’s group at the University of Miami is recruiting a fully funded PhD student and a postdoctoral researcher in Civil Engineering. The work sits at the intersection of LLMs, AI agents, structural analysis, uncertainty quantification, digital twins, and smart infrastructure systems.

The project includes development of CivilBot, an AI agent designed to automate structural modeling and analysis. Research topics mentioned in the post include LLMs and VLMs for structural and finite element analysis, uncertainty quantification and optimization through surrogate modeling, and digital twin-enabled smart cities.

The position is based in the Department of Civil & Architectural Engineering at the University of Miami. The post explicitly says the opportunity is fully funded, with tuition and stipends covered. The postdoc can start immediately, and PhD applications are reviewed on a rolling basis.

Eligibility highlights: PhD applicants should have a bachelor’s or master’s degree in civil engineering or a related field. Postdoctoral applicants should hold a PhD in civil engineering or a related field. Preferred skills include Python or Matlab, plus experience in machine learning and uncertainty quantification. International applicants whose native language is not English must take TOEFL or IELTS.

How to apply: Email your CV and transcript to the PI. For PhD applications, use the subject line “CAE PhD Application - Your Name” and include a short statement describing your interests, experience, projects, skills, or career goals. For postdoc applications, use “CAE Postdoc Application - Your Name” and include a research statement.