Two fully funded Ph.D. studentship positions are available in my group, starting in Spring or Fall 2026.

The selected candidate(s) will work with Dr. Fenglian Pan in one of the following areas:

• Uncertainty-Aware Digital Twin for AI System Reliability Analysis

• Multi-Sensor, Multi-Source, and Muti-Modal Data Fusion for System Informatics

• Large-Scale Spatiotemporal Network Modeling and Analysis

• Discrete Recurrent Event Data Analytics in Complex Systems

Qualifications:

• A Bachelor’s or Master’s degree in mathematics, statistics, industrial engineering, computer science, electrical and computer engineering, or a closely related field.

• Strong self-motivation, critical thinking, and problem-solving skills.

• Preferred: Experience in statistical analysis, data mining, and machine learning

• Preferred: Proficiency in Python, R, or MATLAB

Contact Information: If you are interested in joining Dr. Fenglian Pan's group, please email fpan4@charlotte.edu with the following documents: 1) CV/Resume, 2) Academic transcript, 3) TOEFL or other English proficiency scores (if applicable), and 4) Sample publications (if applicable).

About UNC Charlotte: UNC Charlotte is one of the nation’s fastest-growing research universities and most innovative schools. It holds the prestigious R1 classification (highest level of research activity) in the Carnegie Classification of Institutions of Higher Education. With over 30,000 students, UNC Charlotte offers competitive undergraduate, graduate, and doctoral programs, providing access to internships, research, and career opportunities in business, technology, healthcare, education, energy, data science, and other high-impact fields.