Postdoctoral Associate - Digital Twins and AI Smart Infrastructure - NYU

Postdoctoral Associate - Digital Twins and AI for Smart Infrastructure - NYU Abu Dhabi - Abu Dhabi, UAE

This Postdoctoral Associate role at NYU Abu Dhabi supports the SHORES Center and the S.M.A.R.T. Construction Research Group, focusing on AI- and ML-powered Digital Twin frameworks for smart, adaptive, and resilient infrastructure systems. The position contributes to advanced research integrating IoT sensing, data analytics, real-time monitoring, and predictive maintenance across civil, energy, and built-environment infrastructure.

• Country: UAE
• City:
  Abu Dhabi
• Industry: Civil Engineering
• Function:
  Engineering
• Salary:  monthly (Market estimated)
• Gender: Any
• Candidate Nationality:
  Any
• Job Type: Full-time

• Conduct research on integrating Digital Twins with AI and ML technologies for infrastructure lifecycle management
• Develop computational models for monitoring and predicting infrastructure performance
• Incorporate IoT-enabled sensing and data analytics into Digital Twin frameworks
• Address user comfort and indoor environmental quality as part of infrastructure evaluation
• Collaborate with faculty, researchers, and investigators across the SHORES Center
• Publish research in high-impact journals and present findings at leading conferences
• Mentor graduate and undergraduate students engaged in related research projects
• Contribute to the design of smart, adaptive Infrastructure Management Systems

• PhD in civil engineering, computer science, or a related discipline
• Strong background in Digital Twins, AI, ML, or smart infrastructure systems
• Experience in computational modeling, automation, or infrastructure analytics
• Demonstrated research excellence with peer-reviewed publications
• Proficiency in programming tools such as Python, MATLAB, Revit, Unity, or IoT platforms
• Strong communication skills and ability to work within multidisciplinary teams
• Ability to contribute independently and collaboratively to research goals

• Digital Twin development and implementation
• AI and machine learning techniques for infrastructure applications
• IoT-enabled sensing and data integration
• Computational modeling and predictive maintenance algorithms
• Programming skills for simulation, modeling, and visualization
• Research documentation and publication capability
• Ability to manage and contribute to collaborative engineering research

• Opportunity to work on cutting-edge Digital Twin and AI research for smart infrastructure
• Access to advanced research tools and interdisciplinary collaborations
• Competitive tax‑free compensation with housing and educational benefits
• Contribution to impactful work in civil engineering and digitalization of the built environment
• Supportive academic environment aligned with NYU's global network
• Strong potential for high-impact publications and academic growth