Fully Funded PhD Position in Network Analysis, AI Applications, and Sustainable Built Environments at Georgia Southern University

Georgia Southern University is offering a fully funded PhD position under the supervision of Assistant Professor Meltem Duva. The research will focus on network analysis and the application of artificial intelligence (AI) in project teams, with an emphasis on data-driven analysis of team dynamics, collaboration, and performance. Additional research interests include sustainable built environments and smart cities, making this an excellent opportunity for candidates interested in the intersection of civil engineering, AI, and sustainability. The ideal candidate will hold a Master’s degree in Civil Engineering, Construction Management, or a related discipline. Applicants should have experience or a strong interest in AI applications within project teams or organizational settings, as well as solid skills in Excel, Python, or other programming languages. Familiarity with network analysis methods and tools, excellent English communication skills, and motivation for both independent and collaborative research are essential. The selected applicant must also meet all admission requirements of Georgia Southern University and the relevant graduate program. This PhD position is fully funded, contingent upon satisfactory progress. The start date is August 2026. Interested candidates should submit a CV, a brief statement of research interests and motivation, and academic transcripts to Dr. Duva at [email protected]. For more information on graduate admission requirements, candidates are encouraged to review the university’s guidelines at the provided link. The inquiry deadline is January 15, 2026, or until the position is filled. Key research areas include network analysis, artificial intelligence, project team dynamics, collaboration, performance metrics, sustainable built environments, and smart cities. This opportunity is ideal for students seeking to advance their expertise in civil engineering, computer science, and environmental science within a collaborative and innovative academic environment.