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

European Commission; United Arab Emirates; On-site; USD 60,000 - 80,000; Full time

Job summary

A leading research university in the UAE is seeking a Postdoctoral Associate to develop a machine-learning powered digital twin system for civil engineering structures. Candidates must have a PhD in Civil Engineering and demonstrate research experience in structural modeling. The role offers a competitive salary, medical insurance, housing allowance, and other benefits.

Benefits

Competitive salary

Medical insurance

Housing allowance

Annual home-leave travel

Educational subsidies for children

Qualifications

• Research experience in structural modeling and machine-learning model development.
• Experience in developing computational models for structural performance.
• Experience in validating modeling results against experimental data.

Responsibilities

• Develop a machine-learning powered digital twin system for civil engineering structures.
• Conduct physical experiments and validate computational models.
• Engage in structural and geotechnical modeling.

Skills

Structural modeling

Machine-learning model development

Geotechnical modeling

Data acquisition

Education

PhD in Civil Engineering or related field

Tools

Commercial software for structural analysis

Research software tools

Job description

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Organisation/Company: NEW YORK UNIVERSITY ABU DHABI

Research Field: Engineering

Researcher Profile: Recognised Researcher (R2), Established Researcher (R3)

Country: United Arab Emirates

Application Deadline: 22 Aug 2025 - 00:00 (UTC)

Type of Contract: Permanent

Job Status: Full-time

Is the job funded through the EU Research Framework Programme? No

Is the Job related to staff position within a Research Infrastructure? No

Offer 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. This project is a collaboration between multiple research groups led by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves 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 PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering is required. Applicants should demonstrate research experience in structural modeling and machine-learning model development.

Preferred Qualifications:

• Experience in developing computational models to represent structural performance using commercial and research software tools
• Experience in developing and validating machine learning and AI models for structural response
• Experience in physical experimental testing for structural and geotechnical applications
• Experience in data acquisition and processing from monitoring systems
• Experience in validating modeling results against experimental and monitoring data

The employment package includes a 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, all in PDF format.

NYU Abu Dhabi is a degree-granting research university with a comprehensive undergraduate program across Arts, Sciences, Social Sciences, Humanities, and Engineering. It is part of NYU’s global network, facilitating international mobility of students and faculty. NYU Abu Dhabi is a hub for scholarly thought, research, and knowledge creation, serving as a major center at the crossroads of the Arab world.

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