Description

The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-doctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models.

Required Qualifications:

A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering with no more than five years post receipt of the PhD. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development.

Preferred Qualifications:

Experience in the following will be preferred:

the development of computational models to represent structural performance using commercial and research software tools
the development and validation of machine learning and artificial intelligence models focused on representing the structural response
physical experimental testing for structural and geotechnical applications
data acquisition and processing from monitoring systems
validation of modeling results against experimental and monitoring data