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

Westfield State University; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A prestigious research university in the UAE seeks a Postdoctoral Associate for a project on developing a machine-learning digital twin system for civil engineering structures. The role involves structural modeling, machine-learning development, and experimental validation. Candidates should hold a PhD in a relevant field and have research experience in the specified areas.

Benefits

Highly competitive salary

Medical insurance

Housing allowance

Annual home-leave travel

Educational subsidies for children

Qualifications

• PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering required.
• Research experience in structural modeling and machine-learning model development essential.

Responsibilities

• Develop machine-learning-powered digital twin system for monitoring structural performance.
• Conduct physical experiments and validate computational models.
• Collaborate with multiple research groups on structural and geotechnical modeling.

Skills

Structural modeling

Machine learning model development

Geotechnical modeling

Data acquisition and processing

Education

PhD in Civil Engineering or related fields

Tools

Commercial and research software tools

Job description

Description

The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering at New York University Abu Dhabi seek to recruit a Postdoctoral Associate to work on a project focused on developing a machine-learning-powered digital twin system for the structural performance of civil engineering structures. The project involves collaboration among multiple research groups led by Professor Tarek Abdoun and Professor Mostafa Mobasher, and includes activities such as 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 research experience in structural modeling and machine-learning model development.

Preferred Qualifications:

Experience in the following areas is preferred:

• Development of computational models for structural performance using commercial and research software tools
• 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
• Validation of modeling results against experimental and monitoring data

Employment Details at NYUAD:

Terms include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, educational subsidies for children, and other benefits. To apply, submit a cover letter, CV with full publication list, statement of research interests, and contact information for at least two references in PDF format.

If you have questions, contact Dr. Mostafa Mobasher at [e-mail].

Applications can be submitted via this link.

About NYUAD:

NYU Abu Dhabi is a research university offering a liberal arts and science undergraduate program across various disciplines. It is part of the NYU global network, promoting international mobility and scholarly exchange. NYUAD aims to be a hub for research, knowledge creation, and scholarly activity in the Arab world and beyond.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer. UAE Nationals are encouraged to apply.