Post-Doctoral Associate in the Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability

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 Postdoctoral 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. 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

Postdoctoral Associate Employment at NYUAD :

The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and contact information for at least two references, all in PDF format.