Development of machine-learning powered digital twin system for the structural performance of civil engineering structures
The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering at New York University Abu Dhabi invite applications for a Postdoctoral Associate position. The successful candidate will join a collaborative project led by Professor Tarek Abdoun and Professor Mostafa Mobasher, focusing on the development of a machine-learning powered digital twin system for assessing the structural performance of civil engineering structures. This interdisciplinary project involves structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, physical experiments, and computational model validation. Applicants must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering, with proven research experience in structural modeling and machine-learning model development. Preferred candidates will have expertise in computational modeling using commercial and research software, development and validation of machine learning and AI models for structural response, physical experimental testing for structural and geotechnical applications, data acquisition and processing from monitoring systems, and validation of modeling results against experimental and monitoring data. The position offers a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children, along with other benefits. NYU Abu Dhabi is a globally connected research university, providing a vibrant academic environment and opportunities for international collaboration. Applications should include a cover letter, CV with full publication list, statement of research interests, and contact information for at least two references, all in PDF format. The application deadline is October 25, 2025. For inquiries, contact Dr. Mostafa Mobasher at [email protected].
